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    • Adaptive superpixel segmentation of SAR images using an adaptive adjustment strategy for seeds

    • In the field of SAR image superpixel segmentation, researchers have proposed a single iteration superpixel adaptive segmentation algorithm ASSA based on neighborhood characteristics, which effectively improves segmentation efficiency and result quality.
    • Vol. 29, Issue 1, Pages: 290-299(2025)   

      Received:06 June 2023

      Published:07 January 2025

    • DOI: 10.11834/jrs.20233183     

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  • Zhao T,Du X P,Yan Z Z,Zhu J J,Xu C and Fan X T. 2025. Adaptive superpixel segmentation of SAR images using an adaptive adjustment strategy for seeds. National Remote Sensing Bulletin, 29(1):290-299 DOI: 10.11834/jrs.20233183.
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相关作者

WANG Xiuhua 中南大学 地球科学与信息物理学院雷达遥感实验室
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SHI Hongtao 中国矿业大学 环境与测绘学院;自然资源部地理国情监测重点实验室;武汉大学 测绘遥感信息工程国家重点实验室;浙江省微波目标特性测量与遥感重点实验室, 德清
QIAO Xin 中国矿业大学 环境与测绘学院

相关机构

Radar Remote Sensing Laboratory, School of Geosciences and Info-physics, Central South University
Surveying and Mapping Institute Lands and Resource Department Guangdong Province
School of Environment and Spatial Informatics, China University of Mining and Technology
Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources
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