A Simple and Automatic Method for Detecting Large-Scale Land Cover Changes Without Training Data

Author:

Lei Guangbin1ORCID,Li Ainong1ORCID,Bian Jinhu1ORCID,Naboureh Amin1ORCID,Zhang Zhengjian1ORCID,Nan Xi1ORCID

Affiliation:

1. Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Youth Innovation Promotion Association of CAS

Science and Technology Research Program of Institute of Mountain Hazards and Environment, CAS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Reference68 articles.

1. Review Article Digital change detection techniques using remotely-sensed data

2. Trajectory-based detection of urban expansion using Landsat time series

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5. Unsupervised Change Detection Using Fuzzy Topology-Based Majority Voting

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