Review and prospect of land cover mapping by remote sensing

doi:10.13474/j.cnki.11-2246.2019.0342

Abstract

Abstract: The study of land use/cover classification at regional scale is one of the important fields in the study of land use/cover change in the world. Accurate and timely acquisition of the characteristics of the earth's surface is essential to grasp the relationship and interaction between human and natural phenomena. Based on the characteristics of land cover remote sensing classification methods, this paper summarizes the research results here and abroad from hard classification methods, soft classification methods and the latest soft and hard classification methods, and analyses the classification strategies, characteristics and applicability of various methods. The results show that the soft and hard classification method can be flexibly applied to the characteristics of remote sensing images, such as the coexistence of pure and mixed pixels, and can effectively solve the spectral heterogeneity. It has broad application potential in remote sensing monitoring of land cover. In this paper, a framework of soft and hard classification land cover mapping method based on variable endpoints is proposed, and the research emphasis in the future is pointed out.

Key words: hard classification method, soft classification method, soft and hard classification method, mixed pixel decomposition with dynamic endmember

CLC Number:

P237

ZHU Shuang, ZHANG Jinshui, LI Changqing, ZHENG Kuo. Review and prospect of land cover mapping by remote sensing[J]. Bulletin of Surveying and Mapping, 2019, 0(11): 8-11,43.

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