Forest fire detection method based on aerial remote sensing

Abstract

The invention discloses a forest fire detection method based on aerial remote sensing. The forest fire detection method based on aerial remote sensing comprises the steps of fire detection of an RGB color space, fire region segmentation of an HSV color space, static characteristic extraction, dynamic characteristic extraction, characteristic dimension reduction, and identification processing of a support vector machine. The forest fire detection method based on aerial remote sensing overcomes the defects in the prior art that the position of a camera needs to be fixed and long time of accumulation is needed, avoids the high error detection rate caused by multi-color detection in the prior art, and improves the accuracy of a detection algorithm.

Description

technical field [0001] The invention relates to forest fire detection technology, in particular to a forest fire detection method based on aerial remote sensing. Background technique [0002] Forest fire is one of the important disasters in forestry. The occurrence of forest fires is generally characterized by suddenness, randomness, and huge destructiveness in a short period of time. On average, more than 10,000 forest fires occur in my country every year, causing huge environmental pollution and property losses. The timely detection of forest fires has a positive impact on fire fighting and personnel evacuation. For this reason, both at home and abroad attach great importance to the development of advanced forest fire detection technology. [0003] Watchtowers, aerial monitoring, and satellite monitoring are the conventional forest fire detection methods in my country. The detection area of ​​the watchtower is relatively fixed, which cannot better deal with the suddenn...

AI Technical Summary

Problems solved by technology

[0004] Most of the existing image-based fire detection methods are based on fixed cameras for fire detection and identification. The scene is relatively fixed, and it has a certain detection effect on general indoor and large space fires. Still can not meet the actual application requirements

[0005] Chinese patent CN101493980A a video flame detection method based on multi-feature fusion and Chinese patent CN101587622A forest fire detection and recognition method and equipment based on video image intelligent analysis, using a method based on a mixed Gaussian model to segment the flame movement area, this method Cannot adapt to fire area segmentation in rapidly changing scenes

[0006] Chinese Patent CN102163358A A Smoke / Flame Detection Method Based on Video Image Analysis Although this patent adds RGB color restrictions when detecting flame color, it tries to detect a complete fire area, but it ignores the correlation between RGB channels and the richness of flame colors, it is easy to mistakenly detect some objects with similar colors to the fire area as forest fires

[0007] Chinese patent CN102496234A is a forest fire early warning method, which uses infrared cameras to detect forest fires. This patent does not involve specific image processing algorithms

Chinese patent CN201885804U and Chinese patent CN201844880U use dual-band infrared to detect flames, Chinese patent CN202195883U and Chinese patent CN201191222 ultraviolet band fire detection, and Chinese patent CN202306757U belongs to multi-band compliance detection technology. Compared with visible light band detectors, they increase infrared , ultraviolet or multi-band sensors, the system is relatively complex and expensive, which limits its promotion

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