GIS-based marine disaster area extraction method

Abstract

The invention relates to a GIS-based marine disaster area extraction method. The method comprises the following steps: first, performing spatial matching alignment on a plurality of overlapped orthographic remote sensing images taken by an unmanned aerial vehicle by use of an SIFT algorithm to realize image splicing and get a wide-angle remote sensing panorama image; then, establishing the pixel coordinates of the remote sensing images, realizing geometric correction based on the coordinate transformation relationship between the coordinates of the pixels of the remote sensing panorama image in an image coordinate system and the ground coordinates, and superposing the geometrically-corrected remote sensing panorama image on a GIS platform through geographic coordinate location; and finally, implementing a red tide / oil spill identification and detection technology and vector data superposition operation before and after disaster on the remote sensing panorama image to realize red tide disaster and oil spill location and query and area measurement as well as typhoon and storm surge location and query and disaster area measurement. The method provides real-time field data for marine forecasters in rapid alert, and improves the ability of marine dynamic monitoring and disaster prevention and mitigation emergency monitoring.

Description

technical field [0001] The invention belongs to the field of marine disaster assessment, in particular to a method for extracting marine disaster area based on GIS. Background technique [0002] It is understood that the current monitoring of the location of large-scale marine disasters such as oil spills and red tides and the scope of disasters is mainly to use UAV remote sensing technology to collect remote sensing images of disaster areas, and the collected orthophoto remote sensing images are collected through interactive Mapping tools manually measure the area affected. UAV remote sensing monitoring can achieve emergency response without waiting for satellite transit or the altitude limit of traditional aerial remote sensing. On the other hand, it can overcome the defects of traditional satellite optical remote sensing technology in cloudy and cloudy weather, and greatly improve marine mobile monitoring. and disaster prevention and mitigation emergency monitoring capab...

AI Technical Summary

Problems solved by technology

[0005] 1. UAV image collection and disaster-affected area calculation are independent of each other, which is not convenient for actual business operation. Manual area calculation requires a lot of time investment and repeated adjustment work, which is time-consuming and laborious

[0006] 2. The results of calculations that cost a lot of time and energy cannot be used well, and the geographical location and scope of influence of the disaster-affected area are not intuitively displayed, as well as the impact on the surrounding environment.

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