CN104199368B - Be positioned at the field damage caused by a drought harvester on unmanned plane - Google Patents
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Abstract
The present invention relates to a kind of field damage caused by a drought harvester be positioned on unmanned plane, comprise magnetic disk memory, wireless communication interface, unmanned plane driving arrangement, picture pick-up device, image processing equipment and single-chip microcomputer, the control signal that wireless communication interface sends for receiving ground damage caused by a drought monitor supervision platform, single-chip microcomputer is resolved control signal, to obtain the target area that damage caused by a drought gathers, single-chip microcomputer connects unmanned plane driving arrangement and to fly to target area to drive unmanned plane, the target area image collected is sent to image processing equipment and carries out image procossing by picture pick-up device, single-chip microcomputer is according to processing result image determination damage caused by a drought simulation drawing, magnetic disk memory connects described single-chip microcomputer to store described damage caused by a drought simulation drawing.By the present invention, the damage caused by a drought situation in field can be obtained in real time, and call the damage caused by a drought data in field when unmanned plane makes a return voyage, thus be convenient to ground damage caused by a drought supervision department and make control measure of taking precautions against drought targetedly.
Description
Technical field
The present invention relates to damage caused by a drought monitoring field, particularly relate to a kind of field damage caused by a drought harvester be positioned on unmanned plane.
Background technology
Damage caused by a drought refers to the situation of certain area arid of certain time period, and it is few that arid is often referred to fresh water total amount, is not enough to meet the existence of people and the climatic phenomenon of economic development, is generally long-term phenomenon, and arid is all the Major Natural Disasters of facing mankind from ancient times to the present.Because the growth of crops exists quantitative demand to fresh water, be less than quantitatively, then crops cannot normal growth, even withered, thus causes to agricultural and drop in production over a large area, and the food supply of people cannot normally be ensured.Therefore, in order to avoid further developing of damage caused by a drought, need to obtain first hand damage caused by a drought data, understand the order of severity of various places damage caused by a drought, be convenient to the strategy that drought resisting department takes quantitative directed moisturizing, eliminate damage caused by a drought targetedly.
There is the scheme that some obtain damage caused by a drought data in prior art, mainly understood the damage caused by a drought distribution situation of target area by the mode of satellite remote sensing.What utilize remote sensing carries out the focus that draught monitor is an investigation and application.As the temperature vegetation drought index relevant to normalized differential vegetation index and surface temperature and TVDI can be used for draught monitor simultaneously, especially monitor the relative degree of drought in whole region in a certain period in the year, and can be used for the Spatial Variation studying degree of drought.But, the mode of satellite remote sensing damage caused by a drought is utilized to there is drawback, first, the mode of satellite remote sensing determines and can not obtain first hand damage caused by a drought data on the spot, the concrete distribution situation of damage caused by a drought obtained is accurate not, secondly, satellite remote sensing mode cost is high, is not suitable for zonule fraction department and carries out damage caused by a drought monitoring flexibly.
Therefore, need a kind of new field damage caused by a drought harvester, can according to the monitoring requirement of supervision department, the damage caused by a drought situation in a certain concrete region of accurate acquisition, meet that cost is low, demand is flexibly accessed in target damage caused by a drought region simultaneously, in time the damage caused by a drought simulation drawing of target area less for area and vegetation index are presented to supervision department.
Summary of the invention
In order to solve the problem, the invention provides a kind of field damage caused by a drought harvester be positioned on unmanned plane, use the platform of unmanned plane, replace the satellite remote sensing platform that cost is higher, accurate damage caused by a drought data acquisition is carried out in the region that can monitor any needs flexibly, use the watch-dog that camera head and near infrared sensor combine simultaneously, for supervision department provides many-sided field image data, this field damage caused by a drought harvester precision is high, cost performance is high, have more dirigibility, and the data provided have more reference value.
According to an aspect of the present invention, provide a kind of field damage caused by a drought harvester be positioned on unmanned plane, described device comprises magnetic disk memory, wireless communication interface, unmanned plane driving arrangement, picture pick-up device, image processing equipment and single-chip microcomputer, the control signal that described wireless communication interface sends for receiving ground damage caused by a drought monitor supervision platform, described single-chip microcomputer is resolved described control signal, to obtain the target area that damage caused by a drought gathers, described single-chip microcomputer connects described unmanned plane driving arrangement and to fly to described target area to drive described unmanned plane, the described target area image collected is sent to described image processing equipment and carries out image procossing by described picture pick-up device, described single-chip microcomputer is according to processing result image determination damage caused by a drought simulation drawing, described magnetic disk memory connects described single-chip microcomputer to store described damage caused by a drought simulation drawing.
More specifically, the described field damage caused by a drought harvester be arranged on unmanned plane, described harvester also comprises user input device, for the input according to user, determine the partition mode to field image, field upper limit gray threshold, field lower limit gray threshold, first total gray threshold, second total gray threshold and the 3rd total gray threshold, second total gray threshold is greater than first total gray threshold and is less than the 3rd total gray threshold, random access memory, connects described user input device, for storing described partition mode, described field upper limit gray threshold, described field lower limit gray threshold, described first total gray threshold, described second total gray threshold and the described 3rd total gray threshold, GPS positioning equipment, connects GPS navigation satellite, for receiving the real-time GPS data of unmanned plane position, pressure-altitude sensor, for according to the air pressure change near unmanned plane, detects the real-time height of unmanned plane position, described image processing equipment is by the pixel identification of gray-scale value in described target area image between described field upper limit gray threshold and described field lower limit gray threshold and form field image, according to described partition mode, described field image is divided into multiple fields subimage, the pixel count of each field subimage is identical, the grey scale pixel value of each field subimage accumulative, to obtain total gray-scale value, exports the position data of each field subimage in described field image simultaneously, near infrared sensor, connects described image processing equipment, using the subregion at field image place described in described target area as remote measurement region, based on the reflection potential of green vegetation near infrared light, detects the vegetation index in described remote measurement region, described magnetic disk memory for storing described damage caused by a drought simulation drawing and described vegetation index, also for storage described damage caused by a drought simulation drawing and the rear of described vegetation index return damage caused by a drought memory command to described single-chip microcomputer, disk read-write interface, connects described magnetic disk memory, for when unmanned plane makes a return voyage, reads the described damage caused by a drought simulation drawing and described vegetation index that store in described magnetic disk memory, described single-chip microcomputer connects described random access memory, described GPS positioning equipment, described pressure-altitude sensor, described image processing equipment, described near infrared sensor, described wireless communication interface, described unmanned plane driving arrangement, described picture pick-up device and described magnetic disk memory, the target gps data and the object height that obtain described target area are resolved to described control signal, and control described unmanned plane driving arrangement and to fly to described target area to drive described unmanned plane, when described real-time GPS data is consistent with described target gps data and described real-time height is consistent with described object height, start damage caused by a drought drainage pattern, wherein, in described damage caused by a drought drainage pattern, described single-chip microcomputer starts described picture pick-up device, described image processing equipment and described near infrared sensor, receive total gray-scale value and the position data of each field subimage that described image processing equipment sends, based on total gray-scale value of each field subimage and the position data composition damage caused by a drought simulation drawing corresponding with described field image, in described damage caused by a drought simulation drawing, according to total gray-scale value of each field subimage with the damage caused by a drought adopting different colours to represent each field subimage, when total gray-scale value of field subimage is 0 and described first between total gray threshold, green is adopted to represent field subimage, when total gray-scale value of field subimage is between described first total gray threshold and described second total gray threshold, yellow is adopted to represent field subimage, when total gray-scale value of field subimage is between described second total gray threshold and the described 3rd total gray threshold, adopt and orangely represent field subimage, when total gray-scale value of field subimage is total between gray threshold and 255 the described 3rd, redness is adopted to represent field subimage, described single-chip microcomputer receives the vegetation index that described near infrared sensor sends simultaneously, described single-chip microcomputer is receiving described damage caused by a drought after memory command, send collection by described wireless communication interface to described ground damage caused by a drought monitor supervision platform and complete order, so that described ground damage caused by a drought monitor supervision platform continues to transmit control signal to control unmanned plane next target area of flying to described wireless communication interface continue damage caused by a drought collection.
More specifically, the described field damage caused by a drought harvester be arranged on unmanned plane, described wireless communication interface is also for receiving the data request signal that described ground damage caused by a drought monitor supervision platform sends, with under the control of described single-chip microcomputer, described damage caused by a drought simulation drawing and described vegetation index are transmitted to described ground damage caused by a drought monitor supervision platform in real time by described wireless communication interface.
More specifically, described in be arranged in field damage caused by a drought harvester on unmanned plane, described image processing equipment is the digital processing unit DSP of TMS6000 series.
More specifically, the described field damage caused by a drought harvester be arranged on unmanned plane, described single-chip microcomputer, described random access memory, described GPS positioning equipment, described image processing equipment, described unmanned plane driving arrangement, described magnetic disk memory, described user input device and described disk read-write interface are positioned at the front end panel board of unmanned plane.
More specifically, described in be arranged in field damage caused by a drought harvester on unmanned plane, described pressure-altitude sensor, described near infrared sensor, described wireless communication interface and described picture pick-up device are positioned on the fuselage of unmanned plane.
More specifically, described in be arranged in field damage caused by a drought harvester on unmanned plane, described near infrared sensor, is greener based on green vegetation, stronger to the reflection potential of near infrared light, performs the detection to the vegetation index in described remote measurement region.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram being positioned at the field damage caused by a drought harvester on unmanned plane illustrated according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment of the field damage caused by a drought harvester be positioned on unmanned plane of the present invention is described in detail.
Arid refers to long-term without rain or short of rain, makes that soil moisture is not enough, crop water balances and destroyed and the meteorological disaster of the underproduction.Arid is all the Major Natural Disasters of facing mankind from ancient times to the present.Even if in today that science and technology is so flourishing, the catastrophic effect that they cause still can be found everywhere.Investigate the reason that arid causes, the Crack cause of Droughts roughly can be grouped into three aspects.
First, be the factor of precipitation aspect.In general, quantity of precipitation subaverage just easy drought.Rainy season such as in China different regions forms the basis of the seasonal easily arid area distribution in the whole nation when changing.The Changjiang river areas to the south, because wet monsoon is come ahead of time, the evening of going, rainy season early and also the time long, if 7-8 month rainfall is less, easily produce the dry season.North China the Northeast rainy season in the 6-9 month, spring drought and spring-summer drought especially severe.The precipitation that southwest mainly relies on southwest monsoon to bring, 11-April next year is dry season.Arid usually long with its perdurability, impact scope wide, cause the features such as famine and become a kind of serious disaster.Arid can be divided into the soil drought and atmospheric drought two aspects that connect each other.The main manifestations of soil drought and drought is all that precipitation is not enough.Therefore, precipitation deficiency is the very crux of Arid Problem, is the basic reason of arid.
Quantity of precipitation directly affects the whether arid key factor in soil, and probability and rainfall amount that arid occurs are directly proportional.Fall hydropenic Climate Cause and have following four aspects: 1, continue broad down draft; 2, local down draft; 3, barometric disturbance is lacked; 4, moist air stream is lacked.
Secondly, be the factor of water resource aspect.Such as, south China water is many, and plough few, northern water is few, and arable land is many.The unbalance condition of water resource between such kind of area is the key factor causing China's Droughts.
Again, be the factor of social economy aspect, mainly refer to the raising of industrial and agricultural production water in recent decades.Be mainly manifested in: 1, the increase of the arable land multiple crop index number percent of agricultural crop sown area and cultivated area (in agricultural production area 1 year), the expansion of irrigated area, causes the increase of farmland water requirement; 2, the increase of world population, what cause domestic consumption eats increase, and industrial expansion, cause again increasing of industrial water consumption, water requirement.
Current, the monitoring of damage caused by a drought distribution situation is mainly concentrated as satellite remote sensing mode.Although this mode can obtain the damage caused by a drought data of certain resolution fast, but because satellite remote sensing cost is high, the real-time monitoring requirement of supervision department can not be met all the period of time, simultaneously the impact of local meteorology, easily error is caused to the damage caused by a drought picture of satellite shooting, causes damage caused by a drought picture precision not high.
The field damage caused by a drought harvester be positioned on unmanned plane of the present invention, by the mode of unmanned plane image data, supervision department's all the period of time, requirement of real-time from favored area can be met, meanwhile, because be monitor on the spot, damage caused by a drought data more approach actual field conditions, precision comparatively satellite remote sensing mode is high, thus can obtain first hand monitor data, is convenient to department's setting drought resisting strategy more targetedly of taking precautions against drought, ensure that the effect combated the drought and carry out relief work, for agricultural production escorts.
Fig. 1 is the block diagram being positioned at the field damage caused by a drought harvester on unmanned plane illustrated according to an embodiment of the present invention, and as shown in Figure 1, described harvester comprises wireless communication interface 1, user input device 2, random access memory 3, disk read-write interface 4, magnetic disk memory 5, power-supply unit 6, single-chip microcomputer 7, unmanned plane driving arrangement 8, pressure-altitude sensor 9, GPS positioning equipment 10, near infrared sensor 11, image processing equipment 12 and picture pick-up device 13, concrete equipment connecting relation is, single-chip microcomputer 7 respectively with wireless communication interface 1, user input device 2, random access memory 3, disk read-write interface 4, magnetic disk memory 5, unmanned plane driving arrangement 8, pressure-altitude sensor 9, GPS positioning equipment 10, near infrared sensor 11, image processing equipment 12 is connected with picture pick-up device 13, image processing equipment 12 is connected with near infrared sensor 11 and picture pick-up device 13 respectively, disk read-write interface 4 is connected with magnetic disk memory 5, random access memory 3 is connected with user input device 2, wireless communication interface 1 is connected with the ground damage caused by a drought monitor supervision platform 14 of far-end by cordless communication network, and power-supply unit 6 provides power supply supply for the equipment in the damage caused by a drought harvester of field except power-supply unit 6.
Then, more specific description is carried out to the structure of field of the present invention damage caused by a drought harvester.
In described harvester, the control signal that wireless communication interface 1 sends for receiving ground damage caused by a drought monitor supervision platform 14, single-chip microcomputer 7 is resolved described control signal, to obtain the target area that damage caused by a drought gathers, single-chip microcomputer 7 controls unmanned plane driving arrangement 8 and to fly to described target area to drive described unmanned plane, the described target area image collected is sent to image processing equipment 12 and carries out image procossing by picture pick-up device 13, single-chip microcomputer 7 is according to processing result image determination damage caused by a drought simulation drawing, and magnetic disk memory 5 is for storing described damage caused by a drought simulation drawing.
Described harvester also comprises user input device 2, for the input according to user, determine the partition mode to field image, field upper limit gray threshold, field lower limit gray threshold, first total gray threshold, second total gray threshold and the 3rd total gray threshold, second total gray threshold is greater than first total gray threshold and is less than the 3rd total gray threshold; Random access memory 3, connect described user input device 2, for storing described partition mode, described field upper limit gray threshold, described field lower limit gray threshold, described first total gray threshold, described second total gray threshold and the described 3rd total gray threshold.
Described harvester also comprises GPS positioning equipment 10, connects GPS navigation satellite, for receiving the real-time GPS data of unmanned plane position; Pressure-altitude sensor 9, for according to the air pressure change near unmanned plane, detects the real-time height of unmanned plane position.
Described image processing equipment 12 is by the pixel identification of gray-scale value in described target area image between described field upper limit gray threshold and described field lower limit gray threshold and form field image, according to described partition mode, described field image is divided into multiple fields subimage, the pixel count of each field subimage is identical, the grey scale pixel value of each field subimage accumulative, to obtain total gray-scale value, exports the position data of each field subimage in described field image simultaneously.
Described harvester also comprises near infrared sensor 11, connect described image processing equipment 12, using the subregion at field image place described in described target area as remote measurement region, based on the reflection potential of green vegetation near infrared light, detect the vegetation index in described remote measurement region.
Described magnetic disk memory 5 for storing described damage caused by a drought simulation drawing and described vegetation index, also for storage described damage caused by a drought simulation drawing and the rear of described vegetation index return damage caused by a drought memory command to described single-chip microcomputer 7.
Described harvester also comprises disk read-write interface 4, connects described magnetic disk memory 5, for when unmanned plane makes a return voyage, reads the described damage caused by a drought simulation drawing and described vegetation index that store in described magnetic disk memory 5.
Described single-chip microcomputer 7 resolves to described control signal the target gps data and the object height that obtain described target area, and control described unmanned plane driving arrangement 8 and to fly to described target area to drive described unmanned plane, when described real-time GPS data is consistent with described target gps data and described real-time height is consistent with described object height, start damage caused by a drought drainage pattern.
In described damage caused by a drought drainage pattern, described single-chip microcomputer 7 starts described picture pick-up device 13, described image processing equipment 12 and described near infrared sensor 11, receive total gray-scale value and the position data of each field subimage that described image processing equipment 12 sends, based on total gray-scale value of each field subimage and the position data composition damage caused by a drought simulation drawing corresponding with described field image, in described damage caused by a drought simulation drawing, according to total gray-scale value of each field subimage with the damage caused by a drought adopting different colours to represent each field subimage, when total gray-scale value of field subimage is 0 and described first between total gray threshold, green is adopted to represent field subimage, when total gray-scale value of field subimage is between described first total gray threshold and described second total gray threshold, yellow is adopted to represent field subimage, when total gray-scale value of field subimage is between described second total gray threshold and the described 3rd total gray threshold, adopt and orangely represent field subimage, when total gray-scale value of field subimage is total between gray threshold and 255 the described 3rd, redness is adopted to represent field subimage, described single-chip microcomputer 7 receives the vegetation index that described near infrared sensor 11 sends simultaneously.
Described single-chip microcomputer 7 is receiving described damage caused by a drought after memory command, send collection by described wireless communication interface 1 to described ground damage caused by a drought monitor supervision platform 14 and complete order, so that described ground damage caused by a drought monitor supervision platform 14 continues to transmit control signal to control unmanned plane next target area of flying to described wireless communication interface 1 continue damage caused by a drought collection.
Wherein, described wireless communication interface 1 can also be used for the data request signal receiving damage caused by a drought monitor supervision platform 14 transmission of described ground, with under the control of described single-chip microcomputer 7, described damage caused by a drought simulation drawing and described vegetation index are transmitted to described ground damage caused by a drought monitor supervision platform 14 in real time by described wireless communication interface 1; Described image processing equipment 12 is chosen as the digital processing unit DSP of TMS6000 series; Described single-chip microcomputer 7, described random access memory 3, described GPS positioning equipment 10, described image processing equipment 12, described unmanned plane driving arrangement 8, described magnetic disk memory 5, described user input device 2 and described disk read-write interface 4 can be arranged in the front end panel board of unmanned plane, and described pressure-altitude sensor 9, described near infrared sensor 11, described wireless communication interface 1 and described picture pick-up device 13 can be arranged on the fuselage of unmanned plane; Described near infrared sensor 11, is greener based on green vegetation, stronger to the reflection potential of near infrared light, performs the detection to the vegetation index in described remote measurement region.
In addition, vegetation index is the index that can reflect vegetation growth state.Plant leaf surface has very strong absorption characteristic in visible red optical band, has very strong reflection characteristic at near-infrared band, and this is the physical basis of remote sensing of vegetation monitoring, and he is to Soil Background sensitive, can identify vegetation and water body preferably.
Vegetation index increases rapidly with the increase of biomass.In vegetation is in, low cover degree time, this index increases rapidly with the increase of coverage, increasess slowly after reaching certain coverage, thus be applicable to vegetation early, mid-term growth phase dynamic monitoring.The combination of blue light, ruddiness and near infrared channels can eliminate in air that gasoloid is to the interference of vegetation index greatly, and the Chinese People's Anti-Japanese Military and Political College's gas vegetation index formed can improve vegetation Growing state survey and agricultural output assessment precision greatly.
Gray-scale value, refers to the color depth of black white image mid point, and scope is generally from 0 to 255, and white is 255, and black is 0, therefore black and white picture also claims gray level image, has purposes very widely in medical science, field of image recognition.So-called gray-scale value refers to shade degree.Grey level histogram refers in a width digital picture, and each gray-scale value corresponding counts the pixel count with this gray-scale value.To black white image, rgb value is all equal, is called gray-scale value, and each pixel has a gray-scale value.For the gray level image of 8, its intensity value ranges is 0 ~ 255.
Gray scale also can think brightness, is exactly briefly the depth degree of color.In fact in daily life, by the combination of the three primary colors color depth, various different color can be formed.The gray scale number that product can represent is more, also just means that the color representation power of this product is abundanter, can realize stronger gradation.Such as three primary colors 16 grades of gray scales, the color relation that can show is 16 × 16 × 16=4096 look.
Adopt the field damage caused by a drought harvester be positioned on unmanned plane of the present invention,, monitoring underaction, accuracy susceptible technical matters high for existing damage caused by a drought harvester cost, by field damage caused by a drought harvester is arranged on unmanned plane, use the controllability of unmanned plane, the feature of low-latitude flying, the region that any supervision department needs monitoring can be appeared at, perform in real time, accurately, damage caused by a drought data acquisition flexibly, for the department of taking precautions against drought provides more reliable monitor data.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (4)
1. one kind is positioned at the field damage caused by a drought harvester on unmanned plane, it is characterized in that, described harvester comprises magnetic disk memory, wireless communication interface, unmanned plane driving arrangement, picture pick-up device, image processing equipment and single-chip microcomputer, the control signal that described wireless communication interface sends for receiving ground damage caused by a drought monitor supervision platform, described single-chip microcomputer is resolved described control signal, to obtain the target area that damage caused by a drought gathers, described single-chip microcomputer connects described unmanned plane driving arrangement and to fly to described target area to drive described unmanned plane, the described target area image collected is sent to described image processing equipment and carries out image procossing by described picture pick-up device, described single-chip microcomputer is according to processing result image determination damage caused by a drought simulation drawing, described magnetic disk memory connects described single-chip microcomputer to store described damage caused by a drought simulation drawing,
Described harvester also comprises:
User input device, for the input according to user, determine the partition mode to field image, field upper limit gray threshold, field lower limit gray threshold, first total gray threshold, second total gray threshold and the 3rd total gray threshold, second total gray threshold is greater than first total gray threshold and is less than the 3rd total gray threshold;
Random access memory, connects described user input device, for storing described partition mode, described field upper limit gray threshold, described field lower limit gray threshold, described first total gray threshold, described second total gray threshold and the described 3rd total gray threshold;
GPS positioning equipment, connects GPS navigation satellite, for receiving the real-time GPS data of unmanned plane position;
Pressure-altitude sensor, for according to the air pressure change near unmanned plane, detects the real-time height of unmanned plane position;
Described image processing equipment is by the pixel identification of gray-scale value in described target area image between described field upper limit gray threshold and described field lower limit gray threshold and form field image, according to described partition mode, described field image is divided into multiple fields subimage, the pixel count of each field subimage is identical, the grey scale pixel value of each field subimage accumulative, to obtain total gray-scale value, exports the position data of each field subimage in described field image simultaneously;
Near infrared sensor, connects described image processing equipment, using the subregion at field image place described in described target area as remote measurement region, based on the reflection potential of green vegetation near infrared light, detects the vegetation index in described remote measurement region;
Described magnetic disk memory for storing described damage caused by a drought simulation drawing and described vegetation index, also for storage described damage caused by a drought simulation drawing and the rear of described vegetation index return damage caused by a drought memory command to described single-chip microcomputer;
Disk read-write interface, connects described magnetic disk memory, for when unmanned plane makes a return voyage, reads the described damage caused by a drought simulation drawing and described vegetation index that store in described magnetic disk memory;
Described single-chip microcomputer connects described random access memory, described GPS positioning equipment, described pressure-altitude sensor, described image processing equipment, described near infrared sensor, described wireless communication interface, described unmanned plane driving arrangement, described picture pick-up device and described magnetic disk memory, the target gps data and the object height that obtain described target area are resolved to described control signal, and control described unmanned plane driving arrangement and to fly to described target area to drive described unmanned plane, when described real-time GPS data is consistent with described target gps data and described real-time height is consistent with described object height, start damage caused by a drought drainage pattern,
Wherein, in described damage caused by a drought drainage pattern, described single-chip microcomputer starts described picture pick-up device, described image processing equipment and described near infrared sensor, receive total gray-scale value and the position data of each field subimage that described image processing equipment sends, based on total gray-scale value of each field subimage and the position data composition damage caused by a drought simulation drawing corresponding with described field image, in described damage caused by a drought simulation drawing, according to total gray-scale value of each field subimage with the damage caused by a drought adopting different colours to represent each field subimage, when total gray-scale value of field subimage is 0 and described first between total gray threshold, green is adopted to represent field subimage, when total gray-scale value of field subimage is between described first total gray threshold and described second total gray threshold, yellow is adopted to represent field subimage, when total gray-scale value of field subimage is between described second total gray threshold and the described 3rd total gray threshold, adopt and orangely represent field subimage, when total gray-scale value of field subimage is total between gray threshold and 255 the described 3rd, redness is adopted to represent field subimage, described single-chip microcomputer receives the vegetation index that described near infrared sensor sends simultaneously,
Wherein, described single-chip microcomputer is receiving described damage caused by a drought after memory command, send collection by described wireless communication interface to described ground damage caused by a drought monitor supervision platform and complete order, so that described ground damage caused by a drought monitor supervision platform continues to transmit control signal to control unmanned plane next target area of flying to described wireless communication interface continue damage caused by a drought collection
Described wireless communication interface is also for receiving the data request signal that described ground damage caused by a drought monitor supervision platform sends, with under the control of described single-chip microcomputer, described damage caused by a drought simulation drawing and described vegetation index are transmitted to described ground damage caused by a drought monitor supervision platform in real time by described wireless communication interface
Described image processing equipment is the digital processing unit DSP of TMS6000 series.
2. be positioned at the field damage caused by a drought harvester on unmanned plane as claimed in claim 1, it is characterized in that:
Described single-chip microcomputer, described random access memory, described GPS positioning equipment, described image processing equipment, described unmanned plane driving arrangement, described magnetic disk memory, described user input device and described disk read-write interface are positioned at the front end panel board of unmanned plane.
3. be positioned at the field damage caused by a drought harvester on unmanned plane as claimed in claim 1, it is characterized in that:
Described pressure-altitude sensor, described near infrared sensor, described wireless communication interface and described picture pick-up device are positioned on the fuselage of unmanned plane.
4. be positioned at the field damage caused by a drought harvester on unmanned plane as claimed in claim 1, it is characterized in that:
Described near infrared sensor, is greener based on green vegetation, stronger to the reflection potential of near infrared light, performs the detection to the vegetation index in described remote measurement region.
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| CN103438869B (en) * | 2013-08-28 | 2015-08-12 | 中国水利水电科学研究院 | A kind of large scale vegetation coverage aviation Dynamic Acquisition system |
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