CN103376450A - System and method for multi-satellite resource planning - Google Patents

System and method for multi-satellite resource planning Download PDF

Info

Publication number
CN103376450A
CN103376450A CN2012101103044A CN201210110304A CN103376450A CN 103376450 A CN103376450 A CN 103376450A CN 2012101103044 A CN2012101103044 A CN 2012101103044A CN 201210110304 A CN201210110304 A CN 201210110304A CN 103376450 A CN103376450 A CN 103376450A
Authority
CN
China
Prior art keywords
load
observation
disasters type
processor
satellite
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2012101103044A
Other languages
Chinese (zh)
Other versions
CN103376450B (en
Inventor
李传荣
胡坚
李子扬
吴昊
唐伶俐
汪超亮
李才兴
姜小光
王兴玲
陈世荣
于钢
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Academy of Opto Electronics of CAS
Original Assignee
Academy of Opto Electronics of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Academy of Opto Electronics of CAS filed Critical Academy of Opto Electronics of CAS
Priority to CN201210110304.4A priority Critical patent/CN103376450B/en
Publication of CN103376450A publication Critical patent/CN103376450A/en
Application granted granted Critical
Publication of CN103376450B publication Critical patent/CN103376450B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention provides a system for multi-satellite resource planning. The system for multi-satellite resource planning includes a disaster type database, which is used for storing hazard types and load properties, which are needed in earth observation of the hazard types; a load database, which is used for storing load properties of usable loads; and a projection processer, which is in bidirectional connection with both the disaster type database and the load database and which is used for receiving hazard type information, looking up the load properties, which are needed in earth observation of the hazard type in the disaster type database, looking up the usable loads meeting the load properties in the load database, and returning the information of the obtained usable loads. The system and method for multi-satellite resource planning meet actual demands of disaster mitigation and relief closely, according to which a chosen load type is totally suitable for the disaster area, and by which suitable remote sensing image data of the disaster area is quickly obtained.

Description

Many stars resource planning system and method
Technical field
The present invention relates to the satellite remote sensing technology field, relate in particular to a kind of many stars resource planning system and method that drives based on disaster.
Background technology
Remote sensing satellite (remote sensing satellite) is the artificial satellite as the outer space remote-sensing flatform.Be called satellite remote sensing with satellite as the remote sensing technology of platform.Usually, remote sensing satellite can orbit the several years.Satellite orbit can come to determine as required.Remote sensing satellite can cover in setting time any zone of the whole earth or appointment, and when moving along sun synchronous orbit, it can specify the region to carry out remote sensing to earth surface continuously.The remote sensing instruments such as the visible light camera of Seeds of First Post-flight can obtain a large amount of earth observation photos, have the advantages such as resolving power height, distortion is little, engineer's scale is moderate.The every field that can be widely used in scientific research and industrial and agricultural production.
Many stars MRP referred to before carrying out the remote sensing technology application, utilize available satellite resource, for the target area is formulated to the picture scheme, so that after the process satellite imagery, the satellite image that obtains is the coverage goal zone fully, and can carry out corresponding remote sensing application to the target area, such as forest cover investigation, pest and disease monitoring, freshwater monitoring etc.
At present when utilizing many stars resource to observe planning, only considered the coverage condition of satellite image to the target area, guarantee that namely the programme of formulating can realize the fully covering to the target area, but the actual conditions of target area are not taken into account, this just might impact the applicability of the observation program formulated.Especially in mitigation disaster relief process, different disasters often needs to observe with dissimilar satellite load, do not carry out many stars MRP if do not consider the Disasters Type of devastated, just might so that the data of last imaging can't be used, affect whole mitigation disaster relief process.
Summary of the invention
The technical matters that (one) will solve
For solving above-mentioned one or more problems, the invention provides a kind of many stars resource planning system and method that drives based on disaster, with according to Disasters Type, choose suitable satellite load and plan, so that the observation programme of formulating out meets the requirement that the later stage mitigation disaster relief is used.
(2) technical scheme
According to an aspect of the present invention, provide a kind of many stars resource planning system, having comprised: the Disasters Type database is used for the storage Disasters Type and this Disasters Type is carried out the required load attribute of earth observation; The load data storehouse is for the load attribute of storage available payload; And mapping processor, are connected two-way the connection with the load data storehouse with the Disasters Type database, be used for receiving the information of Disasters Type, in the Disasters Type database, search this Disasters Type is carried out the required load attribute of earth observation; In the load data storehouse, search the available payload that satisfies this load attribute; And return the information of the available payload that finds.
According to another aspect of the present invention, also provide a kind of method of many stars MRP, having comprised: mapping processor is searched in the Disasters Type database Disasters Type that receives is carried out the required load attribute of earth observation; Mapping processor is searched the information of a plurality of available payloads that satisfy this load attribute in the load data storehouse.
(3) beneficial effect
From technical scheme as can be known, the present invention is based on many stars resource planning system and the method that disaster drives and have following beneficial effect:
(1) the present invention closely links to each other with the actual demand of the mitigation disaster relief, and the load type of selecting is applicable to the devastated fully, can the suitable disaster area remote sensing image data of quick obtaining;
(2) the present invention has considered the observation time section of dissimilar disasters in the mitigation process and the observation frequency, is conducive to solve the ageing problem of many stars MRP;
(3) the present invention has utilized Disasters Type database, load data storehouse and satellite database, can carry out easily the operations such as additions and deletions, attribute modification to data such as Disasters Type, load, satellites, and dirigibility and convenience improve greatly.
Description of drawings
Fig. 1 is the structural representation of many stars of embodiment of the invention resource planning system;
Fig. 2 is the process flow diagram of many stars of embodiment of the invention MRP method;
Fig. 3 is that the embodiment of the invention is based on the process flow diagram that generates load scanning strip set step in many stars MRP method of disaster driving;
Fig. 4 is that the embodiment of the invention is based on the process flow diagram that generates many stars resource optimization programme step in many stars MRP method of disaster driving from the set of load scanning strip.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, below in conjunction with specific embodiment, and with reference to accompanying drawing, the present invention is described in more detail.Although this paper can provide the demonstration of the parameter that comprises particular value, should be appreciated that parameter need not definitely to equal corresponding value, but can in acceptable error margin or design constraint, be similar to corresponding value.
In one exemplary embodiment of the present invention, a kind of many stars resource planning system that drives based on disaster has been proposed.Fig. 1 is the structural representation of many stars of embodiment of the invention resource planning system.As shown in Figure 1, many stars of present embodiment resource planning system comprises:
The Disasters Type database is used for the storage Disasters Type and this Disasters Type is carried out the required load attribute of earth observation;
The load data storehouse is for the load attribute of storage available payload;
Satellite database is used for the storage residing satellite of available payload and orbit parameter thereof;
Mapping processor is connected two-way the connection with the load data storehouse with the Disasters Type database, is used for receiving from the planning processor information of Disasters Type, searches the information of this Disasters Type being carried out the required load attribute of earth observation in the Disasters Type database; In the load data storehouse, search the available payload that satisfies this load attribute; And the information of this available payload is back to the planning processor;
The planning processor is connected with user side by interactive interface, is used for receiving the information of Disasters Type, target area, observation time section and the observation frequency of user's input; This Disasters Type is forwarded to mapping processor; The available payload information that target area, observation time section and mapping processor are returned, be sent to the track computation processor; The load scanning strip combination of the observation frequency of target area is satisfied in selection from the load scanning strip set that the track computation processor returns, and generates many stars resource optimization programme; Certainly, have when multiple if satisfy load scanning strip combination that the observation frequency of target area requires, then according to the principle of minimum observation frequency, adopt greedy algorithm to generate many stars resource optimization programme;
The track computation processor, be used for searching the satellite corresponding with this available payload and orbit parameter thereof at satellite database, by target area, observation time section and this satellite and orbit parameter thereof, the orbit coordinate of Calculation of Satellite, load observation scope coordinate, load are to the time window that passes by of target area, generation is gathered the load scanning strip of target area observation, and this load scanning strip set is sent to the planning processor.
Below respectively the various piece of many stars resource planning system is described in detail.
For the Disasters Type database, Disasters Type comprises: earthquake, flood, drought, sandstorm, landslide/rubble flow, ice and snow disaster, typhoon, disease and pest, forest fire etc.Analyze by coverage, duration, breakdown strength, applicable observation wave band equal angles to various disasters, determine the demand to load from aspects such as the required load type of earth observation, applicable wave band, observation port number and load resolution.Table 1 provides the corresponding load attribute of several disasters commonly used.
The corresponding load attribute of several disasters commonly used of table 1
Figure BDA0000153100300000041
Need to prove that herein for some Disasters Type, its load resolution is not more high better.Because load resolution is higher, the regional extent of its observation is inevitable limited, and the disaster details of some is easy to be missed or do not observe in limited regional extent.Therefore, it also is necessary selecting suitable resolution.
In Disasters Type database, load data storehouse and satellite database, included external input/output interface, make things convenient for external module that it is called and revises.And in the load data storehouse, can store domestic and international remote sensing satellite and load, such as HJ-1A/B, LANDSAT-5, LANDSAT-7, BEIJING-1, SPOT-5, RADARSAT-2 etc.Disasters Type database, load data storehouse and satellite database can carry out the operations such as additions and deletions, attribute modification easily to data such as Disasters Type, load, satellites, dirigibility and convenience improve greatly.
For mapping processor, according to disaster to observation real needs and the association attributes of load, formulate the mapping ruler between the two, according to this rule disaster and load are connected, meet the load that its observation requires so that can inquire about to draw by certain Disasters Type.
For the track computation processor, it is by this satellite and orbit parameter, target area and observation time section, the orbit coordinate of Calculation of Satellite, load observation scope coordinate, load be to the time window that passes by of target area, and the mode that generates the load scanning strip set of target area observation has had ripe algorithm in the prior art.For ease of understanding, below give the functional module of errant computation processor: search module, be used for searching the satellite corresponding with this load and orbit parameter thereof at satellite database; Satellite orbit coordinate Calculation module is used for according to satellite orbit parameter, considers the perturbation factors such as the figure of the earth, atmospherical drag, lunisolar attraction, sun optical pressure, calculates the orbit coordinate of satellite; Load observation scope coordinate Calculation module is used for the orbit coordinate according to satellite, and view angle, side-sway angle in conjunction with load calculate load observation scope coordinate; Scanning strip set computing module, be used for the earth observation scope according to load, the geometric definition in combining target zone, calculate load to the scanning strip set of target area observation, wherein the attribute of every scanning strip also comprises: load title, satellite designation, to start time and the concluding time that the target area is observed, the geometric configuration of scanning strip etc.Need to prove that except the method that above provides, the processing procedure in the track computation process in the track computation processor and the planning processor is multiple in addition in the prior art, enumerates no longer one by one herein.
Described planning processor comprises: planning module, be used for satisfying from the load scanning strip set selection that the track computation processor returns the load scanning strip combination of the observation frequency of target area, and generate many stars resource optimization programme; The second interactive module, the information of the Disasters Type of reception user input, target area, observation time section and observation frequency; This Disasters Type is forwarded to mapping processor; The available payload information that target area, observation time section and mapping processor are returned is sent to the track computation processor; And should many stars resource optimization programme return to user side by interactive interface.
In this planning module, cross the time window of target area according to each load, the requirement of combining target area observation frequency, according to minimum number, the complete principle in coverage goal zone, screening draws the optimization observation program of this target area from the time window set.For example certain target area need to observe twice, and as calculated, the scanning strip quantity that each load is observed the target area is 10, plan then that processor is at first divided the observation time section equally to be two parts, and the time window that will pass by accordingly is divided into two set; Secondly each set is processed respectively, each scanning strip is to the coverage rate of target area in the set of computations, take out wherein maximum scanning strip, remaining scanning strip and residue are not carried out above operation in the target area of observation in the pair set again, form two sub-observation programs, the two combination can be obtained observation program to the target area, realize twice observation to the target area.
In the present embodiment, many stars resource planning system can also comprise: interactive interface, be arranged between planning module and the user's side, and be used for carrying out visualization display in many stars MRP process, the operation interface of man-machine interaction is provided.
According to another aspect of the present invention, also provide a kind of method of the many stars MRP that drives based on disaster, be applied to many stars resource planning system of above-described embodiment.Fig. 2 is the process flow diagram of many stars of embodiment of the invention MRP method.As shown in Figure 2, present embodiment comprises:
Step S202, planning processor receive the information of Disasters Type, target area, observation time section and the observation frequency of user's input, and this Disasters Type is forwarded to mapping processor;
Step S204, mapping processor is searched in the Disasters Type database this Disasters Type is carried out the required load attribute of earth observation;
Step S206, mapping processor is searched the information of a plurality of available payloads that satisfy this load attribute in the load data storehouse;
Step S207, mapping processor is back to the planning processor with the information of a plurality of available payloads; The available payload information that the planning processor returns target area, observation time section, observation frequency and mapping processor is sent to the track computation processor;
Step S208, the track computation processor is searched the satellite corresponding with this available payload and orbit parameter thereof in satellite database, by this satellite and orbit parameter, target area and observation time section, the orbit coordinate of Calculation of Satellite, load observation scope coordinate, load are to the time window that passes by of target area, generation is gathered the load scanning strip of target area observation, and this scanning strip set is back to the planning processor;
The load scanning strip combination of the observation frequency of target area is satisfied in step S210, planning processor selection from the set of load scanning strip, generates many stars resource optimization programme, and flow process finishes.
Wherein, can also comprise before above-mentioned step S202: the data to Disasters Type database, load data storehouse and satellite database inside are made amendment.
Fig. 3 is that the embodiment of the invention is based on the process flow diagram that generates load scanning strip set step in many stars MRP method of disaster driving.As shown in Figure 3, above-mentioned steps S208 can also comprise:
Step S208a searches the satellite corresponding with this load and orbit parameter thereof in satellite database;
Step S208b according to satellite orbit parameter, considers the perturbation factors such as the figure of the earth, atmospherical drag, lunisolar attraction, sun optical pressure, calculates the orbit coordinate of satellite in the planning time section;
Step S208c, according to the orbit coordinate of satellite, view angle, side-sway angle in conjunction with load calculate load observation scope coordinate;
Step S208d, according to the earth observation scope of load, the geometric definition in combining target zone calculates load and crosses the time window of target area and the scanning strip set that load is observed the target area;
Fig. 4 is that the embodiment of the invention is based on the process flow diagram that generates many stars resource optimization programme step in many stars MRP method of disaster driving from the set of load scanning strip.As shown in Figure 4, above-mentioned step S210 can also comprise:
Step S210a obtains the scanning strip set that load is observed the target area
Step S210b defines the screening t zero hour and time step Δ t, and t is initialized as the observation t0 zero hour, and the finish time, t1 was initialized as t+ Δ t;
Step S210c chooses the scanning strip in t and t1 time period
Step S210d, fully whether coverage goal is regional to judge the scanning strip union of choosing, and then turns step S201e if can cover, otherwise turns S210f;
Step S210e chooses suitable scanning strip set from the scanning strip set that screens, make fully coverage goal zone of its union, and minimum number, and this is that load is to an observation program of target area.And the change screening beginning and ending time, make t=t1, t1=t1+ Δ t.Turn step S210g;
Step S210f, makes t1=t1+ Δ t at the change concluding time.Turn step S210g;
Step S210g judges the concluding time whether less than the planning concluding time, if less than then turning step S201c, otherwise, execution in step S210h;
Step S210h judges observation program quantity whether less than the observation frequency, if less than planning failure then, otherwise plans successfully.
Below take Yushu earthquake as example, many stars of the present invention MRP method is elaborated.Present embodiment comprises:
Step S302 receives the time period of the earthquake disaster type of user's input, the geographical area information of cajaput, required observation and observes frequency information
Yushu Regions is positioned at east longitude 97.0069 degree, north latitude 32.9971 degree, and Occurence Time of Earthquakes is 7: 49 on the 14th April of 2010 Beijing time, formulates this zone for the earth observation programme of earthquake disaster, it is as shown in table 2 to set the input data.
The parameter information that table 2 is inputted for the Yushu earthquake disaster:
Figure BDA0000153100300000081
Step S304 searches in disaster database the needed load attribute of earthquake disaster, and specific requirement wherein comprises:
(1) load type is that High Resolution Visible Light, observation port number no requirement (NR), observation frequency are 1~2 time;
(2) applicable wave band is visible light wave range;
(3) load resolution is for being less than or equal to 30 meters;
Step S306, the information of in the load data storehouse, searching a plurality of available payloads that satisfy this load attribute, the available payload that satisfies above load attribute specification is as shown in table 3;
Table 3 satisfies satellite and the load information of earthquake disaster load attribute
Satellite Load
HJ-1A CCD1,CCD2,HSI
HJ-1B CCD1,CCD2
ALOS PRISM,AVNIR-2
BEIJING-1 CCD,PAN
IRS-P6 LISS-3,LISS-4
LANDSAT-5 TM,MSS
SPOT-4 HRVIR
SPOT-5 HRG,HRS
Step S308, in satellite database, search the satellite corresponding with this load and orbit parameter thereof, receiving target zone definitions and observation time segment information, the orbit coordinate of Calculation of Satellite, load observation scope coordinate, load are to the time window that passes by of target area, and result of calculation is sent to the planning processor, through shown in the time window oral thermometer 4 that calculates:
Table 4 satisfies the time window that passes by of the satellite of earthquake disaster load attribute.
The satellite name The load name Start time Concluding time Fabric width Resolution
HJ-1A CCD1 2010-04-1612:17:18 2010-04-1612:17:36 360 30
HJ-1A CCD2 2010-04-1712:42:01 2010-04-1712:42:18 360 30
HJ-1A CCD2 2010-04-1723:35:13 2010-04-1723:35:31 360 30
HJ-1A CCD1 2010-04-1823:59:57 2010-04-1900:00:16 360 30
HJ-1A CCD1 2010-04-2012:19:45 2010-04-2012:20:03 360 30
HJ-1A CCD2 2010-04-2123:37:42 2010-04-2123:38:00 360 30
HJ-1B CCD2 2010-04-1523:36:26 2010-04-1523:36:44 360 30
HJ-1B CCD1 2010-04-1700:01:13 2010-04-1700:01:29 360 30
HJ-1B CCD1 2010-04-1812:21:00 2010-04-1812:21:18 360 30
HJ-1B CCD2 2010-04-1923:39:00 2010-04-1923:39:18 360 30
HJ-1B CCD1 2010-04-2212:23:32 2010-04-2212:23:50 360 30
HJ-1B CCD2 2010-04-2212:23:32 2010-04-2212:23:50 360 30
ALOS PRISM 2010-04-1612:22:40 2010-04-1612:22:57 35 2.5
ALOS AVNIR-2 2010-04-1612:22:39 2010-04-1612:22:57 70 10
BEIJING-1 CCD 2010-04-1611:09:32 2010-04-1611:09:50 600 32
BEIJING-1 CCD 2010-04-1723:51:32 2010-04-1723:51:51 600 32
BEIJING-1 CCD 2010-04-1810:51:33 2010-04-1810:51:52 600 32
BEIJING-1 CCD 2010-04-1923:33:33 2010-04-1923:33:52 600 32
BEIJING-1 CCD 2010-04-2111:13:19 2010-04-2111:13:37 600 32
IRS-P6 AWiFS 2010-04-1712:29:22 2010-04-1712:29:41 737 56
IRS-P6 LISS-3 2010-04-1712:29:23 2010-04-1712:29:42 141 23.5
IRS-P6 LISS-4 2010-04-1712:29:23 2010-04-1712:29:42 23 5.8
IRS-P6 LISS-3 2010-04-1723:46:54 2010-04-1723:47:13 141 23.5
IRS-P6 AWiFS 2010-04-1723:46:55 2010-04-1723:47:14 737 56
IRS-P6 AWiFS 2010-04-1823:26:08 2010-04-1823:26:25 737 56
IRS-P6 AWiFS 2010-04-2112:46:08 2010-04-2112:46:24 737 56
IRS-P6 AWiFS 2010-04-2212:25:18 2010-04-2212:25:37 737 56
IRS-P6 LISS-3 2010-04-2212:25:20 2010-04-2212:25:38 141 23.5
LANDSAT-5 TM 2010-04-2023:13:30 2010-04-2023:13:48 185 30
LANDSAT-5 MSS 2010-04-2023:13:30 2010-04-2023:13:48 185 78
LANDSAT-5 TM 2010-04-2212:00:04 2010-04-2212:00:23 185 30
LANDSAT-5 MSS 2010-04-2212:00:04 2010-04-2212:00:23 185 78
SPOT-4 HRVIR 2010-04-1912:09:05 2010-04-1912:09:23 60 20
SPOT-4 HRVIR 2010-04-1923:27:20 2010-04-1923:27:38 60 20
SPOT-5 HRG 2010-04-2123:34:34 2010-04-2123:34:52 60 10
SPOT-5 HRS 2010-04-2123:34:33 2010-04-2123:34:52 120 10
Step S310, the target area type is point target, requires to twice of observation.For satisfying planning requirement, after calculating mistake target window zone time of load, it was sorted by the time, calculate every scanning strip to the coverage rate of target area, set is processed to the scanning strip in every day, choose minimum scanning strip combination realization to the fully covering of target area, form programme.The programme such as the table 5 that finally obtain are listed.
Table 5 is for the final plan of many stars MRP of Yushu earthquake
Figure BDA0000153100300000091
Above-described specific embodiment; purpose of the present invention, technical scheme and beneficial effect are further described; institute is understood that; the above only is specific embodiments of the invention; be not limited to the present invention; within the spirit and principles in the present invention all, any modification of making, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. star resource planning system more than a kind comprises:
The Disasters Type database is used for the storage Disasters Type and this Disasters Type is carried out the required load attribute of earth observation;
The load data storehouse is for the load attribute of storage available payload; And
Mapping processor is connected two-way the connection with the load data storehouse with the Disasters Type database, is used for receiving the information of Disasters Type, searches in the Disasters Type database this Disasters Type is carried out the required load attribute of earth observation; In the load data storehouse, search the available payload that satisfies this load attribute; And return the information of the available payload that finds.
2. many stars resource planning system according to claim 1 also comprises:
Satellite database is used for the storage residing satellite of available payload and orbit parameter thereof;
The planning processor is connected with user side by interactive interface, is used for receiving the information of Disasters Type, target area, observation time section and the observation frequency of user's input; This Disasters Type is forwarded to mapping processor; The available payload information that target area, observation time section, observation frequency and mapping processor are returned is sent to the track computation processor; The load scanning strip combination of the observation frequency of target area is satisfied in selection from the load scanning strip set that the track computation processor returns, and generates many stars resource optimization programme, should many stars resource optimization programme return to user side by interactive interface;
The track computation processor, be used for searching the satellite corresponding with available payload and orbit parameter thereof at satellite database, by target area, observation time section, observation frequency and this satellite and orbit parameter thereof, generation is sent to the planning processor to the load scanning strip set of target area observation with this load scanning strip set.
3. many stars resource planning system according to claim 2, wherein, described Disasters Type database, load data storehouse and satellite database include:
Input/output interface is used for the data clauses and subclauses of its inside are made amendment.
4. many stars resource planning system according to claim 2, wherein, described track computation processor comprises:
Search module, be used for searching corresponding satellite and the orbit parameter thereof of available payload information of returning with described mapping processor at satellite database;
Satellite orbit coordinate Calculation module is used for according to satellite orbit parameter, considers perturbation factors, calculates the orbit coordinate of satellite;
Load observation scope coordinate Calculation module is used for the orbit coordinate according to satellite, and view angle, side-sway angle in conjunction with load calculate load observation scope coordinate;
Scanning strip set computing module is used for the earth observation scope according to load, and the geometric definition in combining target zone calculates load to the scanning strip set of target area observation;
The first interactive module is used for receiving the available payload information of returning from target area, observation time section and the mapping processor of planning processor, and the scanning strip set that described load is observed the target area is back to the planning processor.
5. many stars resource planning system according to claim 2, wherein, described planning processor comprises:
Planning module is used for satisfying from the load scanning strip set selection that the track computation processor returns the load scanning strip combination of the observation frequency of target area, generates many stars resource optimization programme;
The second interactive module, the information of the Disasters Type of reception user input, target area, observation time section and observation frequency; This Disasters Type is forwarded to mapping processor; The available payload information that target area, observation time section and mapping processor are returned is sent to the track computation processor; And should many stars resource optimization programme return to user side by interactive interface.
6. each described many stars resource planning system in 5 according to claim 1, wherein, described Disasters Type database comprises: Disasters Type, and carry out the required load attribute of earth observation with there is corresponding relation in described Disasters Type, be specially:
Disasters Type is earthquake, and its corresponding load attribute comprises: High Resolution Visible Light or synthetic-aperture radar; Load resolution<30 meter;
Disasters Type is flood, and its corresponding load attribute comprises: synthetic-aperture radar or visible light; Load resolution 〉=30 meter;
Disasters Type is drought, and its corresponding load attribute comprises: visible light, infrared or synthetic-aperture radar; Load is divided resolution 〉=30 meter;
Disasters Type is sandstorm, and its corresponding load attribute comprises: visible light, multispectral; Load resolution 〉=30 meter;
Disasters Type is typhoon, and its corresponding load attribute comprises: visible light; Load resolution 〉=30 meter; And/or
Disasters Type is forest fire, and its corresponding load attribute comprises: infrared or visible light; Load resolution 〉=30 meter.
7. the method for star MRP more than a kind is used for many stars resource planning system as claimed in claim 1, comprising:
Mapping processor is searched in the Disasters Type database Disasters Type that receives is carried out the required load attribute of earth observation; And
Mapping processor is searched the information of a plurality of available payloads that satisfy this load attribute in the load data storehouse.
8. many stars MRP method according to claim 7, wherein,
Described mapping processor is searched in the Disasters Type database Disasters Type that receives is carried out also comprising before the step of the required load attribute of earth observation: the planning processor receives the information of Disasters Type, target area, observation time section and the observation frequency of user's input; The planning processor is forwarded to mapping processor with this Disasters Type;
Described mapping processor is searched the information of a plurality of available payloads that satisfy this load attribute in the load data storehouse step also comprises afterwards: mapping processor is back to the planning processor with the information of a plurality of available payloads; The available payload information that the planning processor returns target area, observation time section, observation frequency and mapping processor is sent to the track computation processor; The track computation processor is searched the satellite corresponding with this available payload and orbit parameter thereof in satellite database; The track computation processor is by this satellite and orbit parameter, target area and observation time section, the orbit coordinate of Calculation of Satellite, load observation scope coordinate, load are to the time window that passes by of target area, generation is gathered the load scanning strip of target area observation, and the planning processor is returned in this load scanning strip set; The load scanning strip combination of the observation frequency of target area is satisfied in the selection from the set of load scanning strip of planning processor, generates many stars resource optimization programme.
9. the method for many stars MRP according to claim 8, wherein, described searching in the Disasters Type database carries out also comprising before the step of the required load attribute of earth observation to the Disasters Type that receives: the data clauses and subclauses to described Disasters Type database, load data storehouse and satellite database inside are made amendment.
10. the method for each described many stars MRP in 9 according to claim 7, wherein, described Disasters Type database comprises: Disasters Type, and carry out the required load attribute of earth observation with there is corresponding relation in described Disasters Type, be specially:
Disasters Type is earthquake, and its corresponding load attribute comprises: High Resolution Visible Light or synthetic-aperture radar; Load resolution<30 meter;
Disasters Type is flood, and its corresponding load attribute comprises: synthetic-aperture radar or visible light; Load resolution 〉=30 meter;
Disasters Type is drought, and its corresponding load attribute comprises: visible light, infrared or synthetic-aperture radar; Load is divided resolution 〉=30 meter;
Disasters Type is sandstorm, and its corresponding load attribute comprises: visible light, multispectral; Load resolution 〉=30 meter;
Disasters Type is typhoon, and its corresponding load attribute comprises: visible light; Load resolution 〉=30 meter; And/or
Disasters Type is forest fire, and its corresponding load attribute comprises: infrared or visible light; Load resolution 〉=30 meter.
CN201210110304.4A 2012-04-13 2012-04-13 System and method for multi-satellite resource planning Active CN103376450B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210110304.4A CN103376450B (en) 2012-04-13 2012-04-13 System and method for multi-satellite resource planning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210110304.4A CN103376450B (en) 2012-04-13 2012-04-13 System and method for multi-satellite resource planning

Publications (2)

Publication Number Publication Date
CN103376450A true CN103376450A (en) 2013-10-30
CN103376450B CN103376450B (en) 2015-07-01

Family

ID=49461850

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210110304.4A Active CN103376450B (en) 2012-04-13 2012-04-13 System and method for multi-satellite resource planning

Country Status (1)

Country Link
CN (1) CN103376450B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110489226A (en) * 2019-07-05 2019-11-22 中国科学院国家空间科学中心 A kind of in-orbit virtual method of space-based resource calculated based on available capability
CN111950617A (en) * 2020-08-05 2020-11-17 上海卫星工程研究所 On-satellite real-time fusion processing method and system for multi-source guide information

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102044022A (en) * 2010-12-24 2011-05-04 中国科学院合肥物质科学研究院 Emergency rescue decision making system aiming at natural disasters and method thereof

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102044022A (en) * 2010-12-24 2011-05-04 中国科学院合肥物质科学研究院 Emergency rescue decision making system aiming at natural disasters and method thereof

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
STEFAN VOIGT ET AL.: ""Satellite Image Analysis for Disaster and Crisis-Management Support"", 《IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING》 *
刘晓路等: ""CHARTER机制下减灾卫星调度系统设计与实现"", 《遥感学报》 *
徐京: ""我国环境与灾害监测预报小卫星系统概况"", 《中国航天》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110489226A (en) * 2019-07-05 2019-11-22 中国科学院国家空间科学中心 A kind of in-orbit virtual method of space-based resource calculated based on available capability
CN110489226B (en) * 2019-07-05 2021-11-09 中国科学院国家空间科学中心 Space-based resource on-orbit virtualization method based on available capacity calculation
CN111950617A (en) * 2020-08-05 2020-11-17 上海卫星工程研究所 On-satellite real-time fusion processing method and system for multi-source guide information

Also Published As

Publication number Publication date
CN103376450B (en) 2015-07-01

Similar Documents

Publication Publication Date Title
Zakšek et al. Downscaling land surface temperature for urban heat island diurnal cycle analysis
Baltsavias et al. High‐quality image matching and automated generation of 3D tree models
Wurm et al. Object-based image information fusion using multisensor earth observation data over urban areas
Xu et al. Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30
Zhang et al. Analysis on spatial structure of landuse change based on remote sensing and geographical information system
Niu et al. Development and evaluation of GNSS/INS data processing software for position and orientation systems
CN102063558A (en) Determination method of imaging condition of agile satellite
Propastin Large-scale mapping of aboveground biomass of tropical rainforest in Sulawesi, Indonesia, using Landsat ETM+ and MODIS data
Hernando et al. Estimation of forest biomass components using airborne LiDAR and multispectral sensors
Karakas et al. Landslide susceptibility mapping with random forest model for Ordu, Turkey
Hu et al. Dynamic monitoring of land subsidence in mining area from multi-source remote-sensing data–a case study at Yanzhou, China
Danaher et al. Remote sensing of tree-grass systems: The Eastern Australian Woodlands
CN103376450B (en) System and method for multi-satellite resource planning
CN109410329B (en) Avalanche information extraction method and device, electronic equipment and storage medium
Lopes Bento et al. Overlap influence in images obtained by an unmanned aerial vehicle on a digital terrain model of altimetric precision
JP2018031766A (en) Method and apparatus for simulating spectral information of geographic areas
CN103364792B (en) The grain remote sensing ground reference information collection method that user drives
CN109992863A (en) A kind of LAI inversion method and device
Mtui Tropical rainforest above ground biomass and carbon stock estimation for upper and lower canopies using terrestrial laser scanner and canopy height model from unmanned aerial vehicle (UAV) imagery in Ayer-Hitam, Malaysia
Wang et al. An optimized two-stage spatial sampling scheme for winter wheat acreage estimation using remotely sensed imagery
CN102129066A (en) Fast wide satellite SAR geocoding method
Roussel et al. Qualification of a new short-term cloud forecasting method for the optimization of Earth observation satellite programs
Stach et al. Land use monitoring by remote sensing in tropical forest areas in support of the Kyoto Protocol: the case of French Guiana
Jayaraman et al. India’s EO pyramid for holistic development
CN107480814A (en) A kind of method for predicting magnanimity moonscope need satisfaction degree

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant