National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China

Title
National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China
Authors
Keywords
Deep learning, Greenhouse mapping, Object extraction, Semantic segmentation, Dense objects
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 181, Issue -, Pages 279-294
Publisher
Elsevier BV
Online
2021-09-25
DOI
10.1016/j.isprsjprs.2021.08.024

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