Superpixel segmentation method of high resolution remote sensing images based on hierarchical clustering
Received:July 25, 2019  Revised:April 02, 2020  download
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Author NameAffiliationE-mail
HUANG Liang Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
Surveying and Mapping Geo-Informatics Technology Research Center on Plateau Mountains of Yunnan Higher Education, Kunming 650093, China 
kmhuangliang@163.com 
YAO Bing-Xiu Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China 1366711008@qq.com 
CHEN Peng-Di Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China  
REN Ai-Ping Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China  
XIA Yan Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China  
Abstract:To solve the problem of automatic selection the segmentation scale in remote sensing image, a superpixel segmentation method of high resolution remote sensing image based on hierarchical clustering is proposed. Firstly, the watershed segmentation algorithm based on adaptive morphological reconstruction is used to segment the image into multiple superpixels. Then, the gray feature vectors of each superpixel is extracted. Finally, the hierarchical clustering method is adopted to merge the superpixels, the accurate segmentation of high-resolution remote sensing images is realized. Four sets of remote sensing images are selected in the experiment, and the experimental results are evaluated by a combination of qualitative and quantitative methods. Experimental results shown that the proposed method effectively improves the segmentation accuracy of remote sensing images, and better segmentation visual effects are obtained.
keywords:high spatial resolution remote sensing image  adaptive morphological reconstruction  watershed  hierarchical clustering
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Copyright:《Journal of Infrared And Millimeter Waves》