Extraction and analysis of surface lake flow direction in Poyang Lake based on texture enhancement and Hough transform

Abstract

Lake flow is one of the common hydrological phenomena in nature. The water exchange of lakes and the circulation of natural water resources are realized by the water movement caused by various factors. Lake current is of great significance in the hydrological and ecological environment and it is one of the focuses of scholars’ research. This paper takes Poyang Lake as the research area, and uses three texture enhancement methods of Laws, Gabor, and LBP operators to enhance the texture features of images based on multi-source remote sensing data, and uses the Hough transform to extract the flow direction of the Poyang Lake area. The results show that the three texture enhancement methods combined with Hough transform can extract the flow direction, but the Gabor filter has the best flow direction effect and the highest extraction accuracy. Gabor filter is the most adaptable for texture enhancement of images with different resolutions. HIGHLIGHTS This paper compared the adaptability of Laws, Gabor filtering and LBP algorithms to the images with different resolutions and different regions.; Hough transform was used to extract the water flow direction of Poyang Lake.; The seasonal flow direction of Poyang Lake was analyzed.;

Keywords

• gabor filter
• hough transform
• poyang lake
• texture enhancement