Remote sensing image culture pond detection method based on instance segmentation

• Main Authors: ZHU JISHUAI, LI HAIXIA, HU YONGLI
• Format: Patent
• Language: Chinese; English
• Published: 04.02.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a remote sensing image culture pond detection method based on instance segmentation. The method comprises the steps that firstly, a sub-meter remote sensing image is cut and partitioned, index information of each image block is stored at the same time, and the index information comprises geographic information; then instance segmentation is carried out on the remote sensingimage through a Mask R-CNN model, and calculation is carried out through multiple distributed GPUs; and in subsequent operation of instance segmentation, contour information is calculated according to the binary mask map of each culture pond position to obtain a polygonal vector of each remote sensing image block, spatial analysis and combination are performed on the polygonal vectors of the adjacent image blocks according to index information of the image blocks, and finally a culture pond vector Shp file of the whole remote sensing image is output. According to the invention, the culture pond instance segmentation