CN104318707A - Forest fire detection platform based on satellite remote sensing images - Google Patents

Forest fire detection platform based on satellite remote sensing images Download PDF

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Publication number
CN104318707A
CN104318707A CN201410614839.4A CN201410614839A CN104318707A CN 104318707 A CN104318707 A CN 104318707A CN 201410614839 A CN201410614839 A CN 201410614839A CN 104318707 A CN104318707 A CN 104318707A
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fire
flame
remote sensing
image
area
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CN104318707B (en
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不公告发明人
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Henan University of Urban Construction
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Wuxi Beidou Xingtong Information Technology Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/005Fire alarms; Alarms responsive to explosion for forest fires, e.g. detecting fires spread over a large or outdoors area
    • G06T5/80
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/12Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
    • G08B17/125Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30168Image quality inspection

Abstract

The invention relates to a forest fire detection platform based on satellite remote sensing images. The forest fire detection platform comprises a ground receiving station, a ground processing station and a fire alarm system. The ground receiving station is used for receiving and recording the satellite remote sensing images. The ground processing station is connected with the ground receiving station and used for processing the satellite remote sensing images and identifying flame images in the satellite remote sensing images. The fire alarm system is connected with the ground processing station and used for realizing forest fire alarms at different levels according to the areas of the flame images. Through the forest fire detection platform based on the satellite remote sensing images, the remote sensing images of all positions of a forest can be obtained in a satellite remote sensing mode, the flame images are identified by analyzing the obtained remote sensing images, and the hierarchical forest fire alarms are given according to the areas of the flame images.

Description

Based on the forest fire detection platform of satellite remote sensing images
Technical field
The present invention relates to forest fire monitoring field, particularly relate to a kind of forest fire detection platform based on satellite remote sensing images.
Background technology
Forest fire, refers to and loses manual control, freely spreads and expand in forest land, brings the forest-fire climate of certain harm and loss to forest, the Forest ecosystem mankind that unify.Forest fire is a kind of sudden strong, destructive large, disaster of disposing relief comparatively difficulty.
Forest fire protection is exactly prevent the generation of forest fire and spread, and namely prevents forest fire and puts out a fire to save life and property.The generation of prevention forest fire, will understand the rule that forest fire occurs, the way taking administration, law, economy to combine, uses scientific and technical means, reduces fire frequency to greatest extent.Forest Fires, the rule of forest fire burning to be understood exactly, set up tight emergency mechanism and strong command system, what tissue training was always or usually as specified put out the fire troop, use effectively, the method for science and the equipment of putting out the fire of advanced person puts out a fire to save life and property in time, reduces fire damage to greatest extent.
As can be seen here, how obtaining the firsthand information of forest fire, is the top priority that forest management department reduces fire damage.By carrying out image taking to the wood land being easy to breaking out of fire substantially in prior art, obtain forest map picture, and forest map picture is analyzed, to judge whether to there occurs fire, wherein, the carrier of image taking is generally that manual site takes or aircraft cruise shooting, but the former is dangerous greatly, coverage rate is narrower, and the latter's aircraft cost is higher, and flight controls complicated, and in prior art, lacking graduate alarm of fire mechanism, the image recognition precision of fire is not high.
Therefore, need a kind of new forest fire detection scheme, the view data of wood land can be obtained quickly and easily, accurate analysis goes out the fire area in view data, thus can report to the police by different level based on the concrete condition of fire spread, for forest management department provides more effective monitor data.
Summary of the invention
In order to solve the problem, the invention provides a kind of forest fire detection platform based on satellite remote sensing images, the mode of satellite remote sensing is adopted to obtain forest map picture fast, and targetedly Image semantic classification is carried out to the forest map picture obtained according to the feature of satellite remote sensing images, introduce new Fire to improve fire detection precision, and the alerting signal of different brackets is sent based on the fire size identified, to facilitate forest management department to make relative Disaster Relief Measures with a definite target in view, improve the work efficiency of forest management department.
According to an aspect of the present invention, provide a kind of forest fire detection platform based on satellite remote sensing images, described detection platform comprises ground receiving station, floor treatment station and fire alarm system, described ground receiving station is used for receiving and recording satellite remote sensing images, described floor treatment station is connected with described ground receiving station, for processing described satellite remote sensing images, identify the flame image in described satellite remote sensing images, described fire alarm system is connected with described floor treatment station, for realizing the forest fire alarm of different brackets based on the size of described flame image.
More specifically, described based in the forest fire detection platform of satellite remote sensing images, described ground receiving station also comprises reflector antenna, there is the reflecting surface of parabola formula, for search and tracking satellite, to receive the satellite remote sensing images of forest fire surveyed area, magnetic tape station, be connected with described reflector antenna, for recording described satellite remote sensing images, described floor treatment station also comprises receiving trap, connect described magnetic tape station, for receiving described satellite remote sensing images, RS-232 serial communication interface, be connected with memory storage, for by flame upper limit gray threshold, flame lower limit gray threshold, red channel threshold value and saturation degree threshold value are read in described memory storage, memory storage, for storing described flame upper limit gray threshold, described flame lower limit gray threshold, described red channel threshold value and described saturation degree threshold value, radiant correction device, be connected with described receiving trap, for carrying out radiant correction process to described satellite remote sensing images, with output radiation correcting image, geometry correction device, be connected with described radiant correction device, for carrying out geometry correction process to described radiant correction image, to export geometry correction image, wavelet filtering device, be connected with described geometry correction device, for carrying out image filtering based on Harr wavelet filter to described geometry correction image, with output filtering image, separation of images device, be connected respectively with described wavelet filtering device and described memory storage, for the pixel identification of gray-scale value in described filtering image between described flame upper limit gray threshold and described flame lower limit gray threshold is formed rough sungpan monkshood root image, flame identification device, be connected with described separation of images device, for each pixel in described rough sungpan monkshood root image, calculate saturation degree, if calculate saturation degree be greater than described saturation degree threshold value and red color channel value be greater than described red channel threshold value and green channel value is less than or equal to red color channel value and is greater than blue channel value time, then determine that this pixel is flame pixels, otherwise determine that this pixel is nonflame pixel, by flame pixels composition flame images all in described rough sungpan monkshood root image, described fire alarm system also comprises user's input interface, for the operation according to user, set the first area threshold, second area threshold value and the 3rd area threshold, described second area threshold value is greater than described first area threshold and is less than described 3rd area threshold, random access devices, be connected with described user's input interface, to receive and to store described first area threshold, described second area threshold value and described 3rd area threshold, opertaing device, be connected respectively with described flame identification device and described random access devices, receive described flame image, calculate the area of described flame image, when described area is zero, send without fire signal, when described area is less than or equal to described first area threshold, send the blue alerting signal of fire, when described area is greater than described first area threshold and is less than or equal to described second area threshold value, send fire yellow alarm signal, when described area is greater than described second area threshold value and is less than or equal to described 3rd area threshold, send the orange alerting signal of fire, when described area be greater than described 3rd area threshold but within the scope exceeding described 3rd area threshold 20% time, send fire red alarm signal, when described area is when exceeding beyond described 3rd area threshold 20%, send fire emergency alerting signal, display device, be connected with described opertaing device, to show described flame image in real time, and display alerting signal blue with described fire, described fire yellow alarm signal, the orange alerting signal of described fire, the word information warning of described fire red alarm signal or described fire emergency alerting signal difference correspondence, voice playing equipment, be connected with described opertaing device, to play the blue alerting signal with described fire, described fire yellow alarm signal, the orange alerting signal of described fire, the phonetic warning file of described fire red alarm signal or described fire emergency alerting signal difference correspondence, wireless communication interface, be connected with described opertaing device, with when receiving described fire red alarm signal or described fire emergency alerting signal, to be sent on the internal network of forest management department or the mobile terminal of forest management responsible official by cordless communication network with described fire red alarm signal or the corresponding respectively word information warning of described fire emergency alerting signal, wherein, described flame upper limit gray threshold and described flame lower limit gray threshold are used for the flame in image and background separation, and described red channel threshold value and described saturation degree threshold value are used for determining the flame image in rough sungpan monkshood root image further.
More specifically, described based in the forest fire detection platform of satellite remote sensing images, described reflector antenna has the full hemisphere tracking power of X-band or S-band, is orientation-pitching mounting means, and be provided with wing drop mechanism, to solve the tracking problem that satellite crosses top.
More specifically, based in the forest fire detection platform of satellite remote sensing images, described display device is LCDs described, and described soundplay equipment is two-way speaker.
More specifically, described based in the forest fire detection platform of satellite remote sensing images, for each pixel in described rough sungpan monkshood root image, described green channel value, described red value and described blue channel value are three color channel values in the RGB color space of described pixel.
More specifically, described based in the forest fire detection platform of satellite remote sensing images, described saturation degree is that the difference of maximal value and minimum value in red color channel value, green channel value and blue channel value is divided by maximal value in red color channel value, green channel value and blue channel value.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of the forest fire detection platform based on satellite remote sensing images illustrated according to an embodiment of the present invention.
Fig. 2 is the block diagram of the ground receiving station of the forest fire detection platform based on satellite remote sensing images illustrated according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment of the forest fire detection platform based on satellite remote sensing images of the present invention is described in detail.
Forest fire is in a broad sense: everyly lose manual control, freely spreads and expand in forest land, brings the forest-fire climate of certain harm and loss to be all called forest fire to forest, the Forest ecosystem mankind that unify.Narrow sense is said: forest fire is a kind of sudden strong, destructive large, disaster of disposing relief comparatively difficulty.Forest fire protection work is that each country prevents and reduces natural disasters the important component part of work, is the important content of national public emergent System Construction.
After forest fires occur, according to whether causing damage to forest and the size of burnt area, forest fire can be divided into: general forest fire, comparatively fully stocked wood fire, fatal forest fire and special fatal forest fire.
To be specifically described as follows: (one) general forest fire: burned areas below 1 hectare or other forest lands on fire, or more than dead 1 people below 3 people, or more than severely injured 1 people below 10 people; (2) comparatively fully stocked wood fire: burned areas more than 1 hectare less than 100 hectares, or more than dead 3 people below 10 people, or more than severely injured 10 people below 50 people; (3) fatal forest fire: burned areas more than 100 hectares less than 1000 hectares, or more than dead 10 people below 30 people, or more than severely injured 50 people below 100 people; (4) special fatal forest fire: burned areas more than 1000 hectares, or more than dead 30 people, or more than severely injured 100 people.
Forest fire detection platform based on satellite remote sensing images of the present invention, forest remote sensing image can be obtained fast, accurately, carry out the identification of fire image in time, and improve graduate alarm mechanism, facilitate forest management department to reduce the decision-making time, improve fire prevention and combat a natural disaster effect.
Fig. 1 is the block diagram of the forest fire detection platform based on satellite remote sensing images illustrated according to an embodiment of the present invention, described detection platform comprises ground receiving station 1, floor treatment station 2 and fire alarm system 3, described ground receiving station 1 is for receiving and recording satellite remote sensing images, described floor treatment station 2 is connected with described ground receiving station 1, for processing described satellite remote sensing images, identify the flame image in described satellite remote sensing images, described fire alarm system 3 is connected with described floor treatment station 2, for realizing the forest fire alarm of different brackets based on the size of described flame image.
Then, more specific description is carried out to the structure of forest fire detection platform of the present invention.
As shown in Figure 2, described ground receiving station 1 also comprises reflector antenna 11, has the reflecting surface of parabola formula, for search and tracking satellite, to receive the satellite remote sensing images of forest fire surveyed area, magnetic tape station 12, be connected with described reflector antenna 11, for recording described satellite remote sensing images.
Described floor treatment station 2 also comprises receiving trap, connects described magnetic tape station 12, for receiving described satellite remote sensing images; RS-232 serial communication interface, is connected with memory storage, for reading in described memory storage by flame upper limit gray threshold, flame lower limit gray threshold, red channel threshold value and saturation degree threshold value; Memory storage, for storing described flame upper limit gray threshold, described flame lower limit gray threshold, described red channel threshold value and described saturation degree threshold value.
Described floor treatment station 2 also comprises radiant correction device, is connected with described receiving trap, for carrying out radiant correction process to described satellite remote sensing images, with output radiation correcting image; Geometry correction device, is connected with described radiant correction device, for carrying out geometry correction process to described radiant correction image, to export geometry correction image.
Described floor treatment station 2 also comprises wavelet filtering device, is connected with described geometry correction device, for carrying out image filtering, with output filtering image based on Harr wavelet filter to described geometry correction image; Separation of images device, be connected respectively with described wavelet filtering device and described memory storage, for the pixel identification of gray-scale value in described filtering image between described flame upper limit gray threshold and described flame lower limit gray threshold is formed rough sungpan monkshood root image.
Described floor treatment station 2 also comprises flame identification device, be connected with described separation of images device, for each pixel in described rough sungpan monkshood root image, calculate saturation degree, if calculate saturation degree be greater than described saturation degree threshold value and red color channel value be greater than described red channel threshold value and green channel value is less than or equal to red color channel value and is greater than blue channel value time, then determine that this pixel is flame pixels, otherwise determine that this pixel is nonflame pixel, by flame pixels composition flame images all in described rough sungpan monkshood root image.
Described fire alarm system 3 also comprises user's input interface, for the operation according to user, set the first area threshold, second area threshold value and the 3rd area threshold, described second area threshold value is greater than described first area threshold and is less than described 3rd area threshold; Random access devices, is connected with described user's input interface, to receive and to store described first area threshold, described second area threshold value and described 3rd area threshold.
Described fire alarm system 3 also comprises opertaing device, be connected respectively with described flame identification device and described random access devices, receive described flame image, calculate the area of described flame image, when described area is zero, send without fire signal, when described area is less than or equal to described first area threshold, send the blue alerting signal of fire, when described area is greater than described first area threshold and is less than or equal to described second area threshold value, send fire yellow alarm signal, when described area is greater than described second area threshold value and is less than or equal to described 3rd area threshold, send the orange alerting signal of fire, when described area be greater than described 3rd area threshold but within the scope exceeding described 3rd area threshold 20% time, send fire red alarm signal, when described area is when exceeding beyond described 3rd area threshold 20%, send fire emergency alerting signal.
Described fire alarm system 3 also comprises display device, be connected with described opertaing device, to show described flame image in real time, and the word information warning that display is corresponding respectively with described fire blue alerting signal, described fire yellow alarm signal, the orange alerting signal of described fire, described fire red alarm signal or described fire emergency alerting signal.
Described fire alarm system 3 also comprises voice playing equipment, be connected with described opertaing device, to play alerting signal, described fire yellow alarm signal, described fire orange alerting signal, described fire red alarm signal or described fire emergency alerting signal blue with described fire phonetic warning file corresponding respectively.
Described fire alarm system 3 also comprises wireless communication interface, be connected with described opertaing device, with when receiving described fire red alarm signal or described fire emergency alerting signal, be sent to described fire red alarm signal or the corresponding respectively word information warning of described fire emergency alerting signal on the internal network of forest management department or the mobile terminal of forest management responsible official by cordless communication network.
Wherein, described flame upper limit gray threshold and described flame lower limit gray threshold are used for the flame in image and background separation, and described red channel threshold value and described saturation degree threshold value are used for determining the flame image in rough sungpan monkshood root image further.
Wherein, described based in the forest fire detection platform of satellite remote sensing images, described reflector antenna 11 has the full hemisphere tracking power of X-band or S-band, for orientation-pitching mounting means, and be provided with wing drop mechanism, to solve the tracking problem that satellite crosses top, described display device is LCDs, described soundplay equipment is two-way speaker, for each pixel in described rough sungpan monkshood root image, described green channel value, described red value and described blue channel value are three color channel values in the RGB color space of described pixel, described saturation degree is red color channel value, in green channel value and blue channel value, the difference of maximal value and minimum value is divided by red color channel value, maximal value in green channel value and blue channel value.
In addition, the appearance of reflector antenna is the result that operating frequency of antenna improves constantly.Early stage Antenna Operation frequency range is shortwave, ultrashort wave (USW), and wavelength dimension is very large, and can not reflect as light, converge, therefore the principal mode of antenna is wire antenna, this be also " antenna " one the history of word originate.But along with the progress of technology, military requirement has greatly promoted the developing of the mankind in frequency space, enters microwave frequency band (300MHz ~ 3000GHz).
The wavelength of microwave is below 1 meter, and scattering properties is close with light, and therefore in optical field, early mature reflecting surface technology starts to be applied to microwave frequency band.At optical field, the reflecting surface technology that people grasp the earliest is Newtonian telescope (also claiming autocollimator), after this several typical autocollimator technology such as Cassegrain, Pascal Greggory has been grasped again, these technology are all obtain fine angular resolution by Enhanced Radiation Reduced Blast bore in itself, are used to field of antenna successively afterwards.The simplest reflector antenna and Newtonian telescope similar, a feed is placed in paraboloidal focus, forms the directional beam of high-gain.Cassegrain, Pascal Greggory reflection surface system are used for antenna, become the form of the main dual reflector antenna of two classes.
The extensive application of reflector antenna, except having benefited from improving constantly of frequency, also has benefited from the progress of feed technology.The feed of reflector antenna is the lower antenna of a gain, and generally adopt wire antenna in early days, as half-wave dipole, but this kind of antenna is as feed, and because directivity is very weak, energy leakage is a lot, can not improve the efficiency of reflector antenna.Adopt electromagnetic horn (being also the one of " aperture antenna ") as feed, better irradiation can be provided, especially the corrugated horn technology of generation nineteen sixty appearance later, the efficiency of reflector antenna is increased substantially, have also been enlarged the application of reflector antenna, become the main path obtaining high-gain.
In addition, traditional signal theory, is based upon on Fourier analysis foundation, and Fourier conversion is as a kind of change of overall importance, and it has certain limitation, if do not possessed localization analysis ability, can not analyzing non-stationary signal etc.People start to carry out various improvement, to improve this limitation, as STFT (short time discrete Fourier transform) to Fourier conversion in actual applications.Due to STFT adopt sliding window function just immobilize once selected, therefore determine its time frequency resolution and immobilize, do not possess adaptive ability, and wavelet analysis well solves this problem.
Wavelet analysis is a kind of emerging branch of mathematics, and he is the most perfect crystallization of functional, Fourier analysis, harmonic analysis, numerical analysis; In application, particularly in signal transacting, image procossing, speech processes and numerous nonlinear science field, he is considered to the another effective Time-Frequency Analysis Method after Fourier analyzes.Compared with wavelet transformation converts with Fourier, the local conversion being a time and frequency domain thus can information extraction from signal effectively, by calculation functions such as flexible and translations, multiscale analysis (Multiscale Analysis) is carried out to function or signal, solve Fourier and convert indeterminable many difficult problems.
Adopt the forest fire detection platform based on satellite remote sensing images of the present invention, not high for existing forest fire detection system detection efficiency, accuracy of detection is lower and lack graduation alarm mechanism technical matters, forest remote sensing image is obtained fast by satellite remote sensing mode, high-precision image recognition technology is used to improve the precision of flame image identification, set up the graduation alarm mode based on flame area size, thus saved the reflection processing time of forest management department, avoid spreading further of forest fire.
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 (6)

1. the forest fire detection platform based on satellite remote sensing images, described detection platform comprises ground receiving station, floor treatment station and fire alarm system, described ground receiving station is used for receiving and recording satellite remote sensing images, described floor treatment station is connected with described ground receiving station, for processing described satellite remote sensing images, identify the flame image in described satellite remote sensing images, described fire alarm system is connected with described floor treatment station, for realizing the forest fire alarm of different brackets based on the size of described flame image.
2., as claimed in claim 1 based on the forest fire detection platform of satellite remote sensing images, it is characterized in that:
Described ground receiving station also comprises
Reflector antenna, has the reflecting surface of parabola formula, for search and tracking satellite, to receive the satellite remote sensing images of forest fire surveyed area;
Magnetic tape station, is connected with described reflector antenna, for recording described satellite remote sensing images; Described floor treatment station also comprises
Receiving trap, connects described magnetic tape station, for receiving described satellite remote sensing images;
RS-232 serial communication interface, is connected with memory storage, for reading in described memory storage by flame upper limit gray threshold, flame lower limit gray threshold, red channel threshold value and saturation degree threshold value;
Memory storage, for storing described flame upper limit gray threshold, described flame lower limit gray threshold, described red channel threshold value and described saturation degree threshold value;
Radiant correction device, is connected with described receiving trap, for carrying out radiant correction process to described satellite remote sensing images, with output radiation correcting image;
Geometry correction device, is connected with described radiant correction device, for carrying out geometry correction process to described radiant correction image, to export geometry correction image;
Wavelet filtering device, is connected with described geometry correction device, for carrying out image filtering, with output filtering image based on Harr wavelet filter to described geometry correction image;
Separation of images device, be connected respectively with described wavelet filtering device and described memory storage, for the pixel identification of gray-scale value in described filtering image between described flame upper limit gray threshold and described flame lower limit gray threshold is formed rough sungpan monkshood root image;
Flame identification device, be connected with described separation of images device, for each pixel in described rough sungpan monkshood root image, calculate saturation degree, if calculate saturation degree be greater than described saturation degree threshold value and red color channel value be greater than described red channel threshold value and green channel value is less than or equal to red color channel value and is greater than blue channel value time, then determine that this pixel is flame pixels, otherwise determine that this pixel is nonflame pixel, by flame pixels composition flame images all in described rough sungpan monkshood root image;
Described fire alarm system also comprises
User's input interface, for the operation according to user, sets the first area threshold, second area threshold value and the 3rd area threshold, and described second area threshold value is greater than described first area threshold and is less than described 3rd area threshold;
Random access devices, is connected with described user's input interface, to receive and to store described first area threshold, described second area threshold value and described 3rd area threshold;
Opertaing device, be connected respectively with described flame identification device and described random access devices, receive described flame image, calculate the area of described flame image, when described area is zero, send without fire signal, when described area is less than or equal to described first area threshold, send the blue alerting signal of fire, when described area is greater than described first area threshold and is less than or equal to described second area threshold value, send fire yellow alarm signal, when described area is greater than described second area threshold value and is less than or equal to described 3rd area threshold, send the orange alerting signal of fire, when described area be greater than described 3rd area threshold but within the scope exceeding described 3rd area threshold 20% time, send fire red alarm signal, when described area is when exceeding beyond described 3rd area threshold 20%, send fire emergency alerting signal,
Display device, be connected with described opertaing device, to show described flame image in real time, and the word information warning that display is corresponding respectively with described fire blue alerting signal, described fire yellow alarm signal, the orange alerting signal of described fire, described fire red alarm signal or described fire emergency alerting signal;
Voice playing equipment, be connected with described opertaing device, to play alerting signal, described fire yellow alarm signal, described fire orange alerting signal, described fire red alarm signal or described fire emergency alerting signal blue with described fire phonetic warning file corresponding respectively;
Wireless communication interface, be connected with described opertaing device, with when receiving described fire red alarm signal or described fire emergency alerting signal, will be sent on the internal network of forest management department or the mobile terminal of forest management responsible official by cordless communication network with described fire red alarm signal or the corresponding respectively word information warning of described fire emergency alerting signal;
Wherein, described flame upper limit gray threshold and described flame lower limit gray threshold are used for the flame in image and background separation, and described red channel threshold value and described saturation degree threshold value are used for determining the flame image in rough sungpan monkshood root image further.
3., as claimed in claim 2 based on the forest fire detection platform of satellite remote sensing images, it is characterized in that:
Described reflector antenna has the full hemisphere tracking power of X-band or S-band, is orientation-pitching mounting means, and is provided with wing drop mechanism, to solve the tracking problem that satellite crosses top.
4., as claimed in claim 2 based on the forest fire detection platform of satellite remote sensing images, it is characterized in that:
Described display device is LCDs, and described soundplay equipment is two-way speaker.
5., as claimed in claim 2 based on the forest fire detection platform of satellite remote sensing images, it is characterized in that:
For each pixel in described rough sungpan monkshood root image, described green channel value, described red value and described blue channel value are three color channel values in the RGB color space of described pixel.
6., as claimed in claim 2 based on the forest fire detection platform of satellite remote sensing images, it is characterized in that:
Described saturation degree is that the difference of maximal value and minimum value in red color channel value, green channel value and blue channel value is divided by maximal value in red color channel value, green channel value and blue channel value.
CN201410614839.4A 2014-11-04 2014-11-04 Forest fire detection platform based on satellite remote sensing images Expired - Fee Related CN104318707B (en)

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CN105187371A (en) * 2015-06-09 2015-12-23 安徽天立泰信息技术有限公司 Forest fire early warning information service network equipment
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CN108717526A (en) * 2018-05-11 2018-10-30 中南林业科技大学 Satellite monitoring forest fires hot spot recognition methods based on AVHRR data
CN108765335A (en) * 2018-05-25 2018-11-06 电子科技大学 A kind of forest fire detection method based on remote sensing images
CN109614908A (en) * 2018-12-04 2019-04-12 西安理工大学 A kind of flame combustion state detection system and detection method
CN110075449A (en) * 2019-04-09 2019-08-02 上海海事大学 A kind of intelligent monitoring extinguishing method for unmanned ship
CN111145275A (en) * 2019-12-30 2020-05-12 重庆市海普软件产业有限公司 Intelligent automatic control forest fire prevention monitoring system and method
CN112911211A (en) * 2020-12-03 2021-06-04 泰州市朗嘉馨网络科技有限公司 Moving direction real-time analysis platform
CN113095282A (en) * 2021-04-29 2021-07-09 中山大学 Fire grading method, device, equipment and medium for island subareas
CN113436406A (en) * 2021-08-25 2021-09-24 广州乐盈信息科技股份有限公司 Sound-light alarm system
CN114659993A (en) * 2022-03-28 2022-06-24 王大成 Greenhouse gas emission detection system based on satellite remote sensing
CN114780665A (en) * 2022-06-21 2022-07-22 环球数科集团有限公司 Digital image processing system of satellite remote sensing information in fire monitoring
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CN108717526A (en) * 2018-05-11 2018-10-30 中南林业科技大学 Satellite monitoring forest fires hot spot recognition methods based on AVHRR data
CN108765335B (en) * 2018-05-25 2022-08-02 电子科技大学 Forest fire detection method based on remote sensing image
CN108765335A (en) * 2018-05-25 2018-11-06 电子科技大学 A kind of forest fire detection method based on remote sensing images
CN109614908A (en) * 2018-12-04 2019-04-12 西安理工大学 A kind of flame combustion state detection system and detection method
CN109614908B (en) * 2018-12-04 2022-02-18 西安理工大学 Flame combustion state detection system and detection method
CN110075449A (en) * 2019-04-09 2019-08-02 上海海事大学 A kind of intelligent monitoring extinguishing method for unmanned ship
CN111145275A (en) * 2019-12-30 2020-05-12 重庆市海普软件产业有限公司 Intelligent automatic control forest fire prevention monitoring system and method
CN112911211A (en) * 2020-12-03 2021-06-04 泰州市朗嘉馨网络科技有限公司 Moving direction real-time analysis platform
CN112911211B (en) * 2020-12-03 2021-11-30 深圳市快读科技有限公司 Moving direction real-time analysis platform
CN113095282A (en) * 2021-04-29 2021-07-09 中山大学 Fire grading method, device, equipment and medium for island subareas
CN113436406A (en) * 2021-08-25 2021-09-24 广州乐盈信息科技股份有限公司 Sound-light alarm system
CN114659993A (en) * 2022-03-28 2022-06-24 王大成 Greenhouse gas emission detection system based on satellite remote sensing
CN114949664A (en) * 2022-06-02 2022-08-30 合肥工业大学 Land-air linkage path planning control method for forest fire-fighting inspection robot
CN115050159A (en) * 2022-06-08 2022-09-13 重庆工商大学 Chemical laboratory fire prevention early warning method and system
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