default author photo

Mo Wang

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

55

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Investigating Sentinel-1 contributions to within-season crop type classification using Landsat and Sentinel-2 time series in the deep end-to-end learning era

Number of pages: 38 Posted: 13 Oct 2025
Xianghong Che, Bin Xie, Yong Wang, Qing Sun, Hao Liu, Jiping Liu, Mo Wang, Yongqing Bai and Hankui K. Zhang
Chinese Academy of Surveying and Mapping, Hangzhou Normal University, Chinese Academy of Surveying and Mapping, Chinese Academy of Meteorological Sciences, Nanjing University, Chinese Academy of Surveying and Mapping, affiliation not provided to SSRN, affiliation not provided to SSRN and South Dakota State University
Downloads 55 (1,031,043)

Abstract:

Loading...

Within-season crop type classification, Sentinel-1 contributions, Landsat 8 and Sentinel-2 time series, transformer, t-SNE, gradient propagation analysis