Synchronous Response Analysis of Features for Remote Sensing Crop Classification Based on Optical and SAR Time-Series Data

Synchronous Response Analysis of Features for Remote Sensing Crop Classification Based on Optical and SAR Time-Series Data

Accurate crop classification is the basis of agricultural research, and remote sensing is the only effective measuring technique to classify crops over large areas. Optical remote sensing is effective in regions with good illumination; however, it usually fails to meet requirements for highly accura...

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Bibliographic Details
Main Authors: Yingwei Sun, Jiancheng Luo, Tianjun Wu, Ya’nan Zhou, Hao Liu, Lijing Gao, Wen Dong, Wei Liu, Yingpin Yang, Xiaodong Hu, Lingyu Wang, Zhongfa Zhou
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
optical time-series data
sar time-series data
rnn
synchronous response relationship
cloudy and rainy region
crop classification
Online Access:https://www.mdpi.com/1424-8220/19/19/4227

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