Accuracy comparison results.

<div><p>To address challenges in remote sensing images, such as the abundance of buildings, difficulty in contour extraction, and slow update speeds, a high-resolution remote sensing image building segmentation and extraction method based on the YOLOv5ds network structure was proposed us...

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Bibliographic Details
Main Author:	Fangzhe Chang (20896737) (author)
Other Authors:	Tianyue Ma (6742145) (author), Dantong Wang (298935) (author), Shoujie Zhu (11944749) (author), Dengping Li (20896740) (author), Shuntian Feng (20896743) (author), Xiaoyong Fan (1956643) (author)
Published:	2025
Subjects:	Biochemistry Biotechnology Sociology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified slow update speeds raster compression module metrics significantly surpass historical change analysis fpn ), producing feature pyramid networks experimental results indicate category mapping image achieving detailed results original image size remote sensing images proposed using gaofen mean average precision semantic segmentation module accurate contour extraction yolov5ds network structure extraction method based average precision semantic segmentation segmentation network contour extraction original yolov5ds orthogonal images 2 images segmentation contours rapid extraction building segmentation xlink "> target detection recorded values named yolov5ds edge optimization address challenges
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Accuracy comparison results.

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