Coastline extraction algorithm for SAR images based on automatic threshold and regional growth
WANG Zhiyi1,2, WANG Na1,2, LIN Bo3, LI Meng4, YU Yang1,2
1. China Institute of Geo-Environment Monitoring, Beijing 100081, China; 2. Key Laboratory of Mine Ecological Effects and Systematic Restoration, Ministry of Natural Resources, Beijing 100081, China; 3. Zhejiang Earth Star Remote Sensing Technology Co., Ltd, Zhejiang Huzhou 313200,China; 4. China Association for Geological Disaster Prevention and Ecological Restoration, Beijing 100043,China
Abstract：In order to achieve dynamic supervision and monitor the coastline, SAR image coastline automatic extraction method combined with automatic threshold and regional growth is proposed. First, the combination of the Canny edge detection and OTSU method is applied to realize the automatic threshold extraction of the water and land boundary line. Based on the automatic threshold results, the water area is operated opening and segmentation to obtain the large proportion of sea water body as a seed point for regional growth for getting the sea water, thus the part of the terrestrial water body and shadow was removed. Then, the sea-land segmentation acquired by the regional growth method is denoising, filling morphological optimization processing to fill the void caused by sea hull, windmill and island reef, so the final sea-land segmentation result was finally formed. At last, the Canny edge detection operator was used to obtain the coastline. The experimental results of Jiangsu costal zone show that the smooth and continuous coastlines can be accurately extracted by the proposed method, which has strong practicality in the SAR coastline extraction.
王志一, 王娜, 林波, 李梦, 余洋. 基于自动阈值与区域增长的SAR影像海岸线提取算法[J]. 中国地质调查, 2023, 10(1): 110-117.
WANG Zhiyi, WANG Na, LIN Bo, LI Meng, YU Yang. Coastline extraction algorithm for SAR images based on automatic threshold and regional growth. , 2023, 10(1): 110-117.
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