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秦昆, 陈一祥, 甘顺子, 冯霞, 任文力(武汉大学遥感信息工程学院, 武汉 430079)

摘 要
Review on methods of spatial structural feature modeling of high resolution remote sensing images

Qin Kun, Chen Yixiang, Gan Shunzi, Feng Xia, Ren Wenli(School of Remote Sensing and Information Engineering, Wuhan University 430079, China)

The high resolution remote sensing images can provide detailed ground information, and they have complex spatial structural features. Effectively describing and modeling them will play an important role in better realizing the tasks such as image interpretation, object recognition and extraction, scene understanding, and so on. This paper firstly introduces the concept and properties of spatial structural features, and divides the spatial structural feature into three levels: pixel structure, object structure and scene structure. Then, a systematic review on recent development of spatial structural feature description and modeling methods is presented. The review focuses on the basic principles and research status of these methods, and some advantages and drawbacks are pointed out. Finally, conclusions are drawn and future research directions are discussed.