Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China

Author:

Liu Yinhe,Zhong YanfeiORCID,Ma Ailong,Zhao Ji,Zhang Liangpei

Funder

National Natural Science Foundation of China

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference43 articles.

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4. High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015;Calderón-Loor;Remote Sens. Environ.,2021

5. Global land cover mapping at 30 m resolution: A POK-based operational approach;Chen;ISPRS J. Photogramm. Remote Sens.,2015

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