Abandoned Land Mapping Based on Spatiotemporal Features from PolSAR Data via Deep Learning Methods

Abandoned Land Mapping Based on Spatiotemporal Features from PolSAR Data via Deep Learning Methods

Monitoring agricultural abandonment is essential in understanding the effects on the environment and food security. Polarimetric synthetic aperture radar (PolSAR) is an efficient approach for the monitoring of large-scale agricultural land cover in cloudy and rainy areas. However, previous studies h...

Full description

Bibliographic Details
Main Authors: Yingpin Yang, Zhifeng Wu, Wenju Xiao, Ya’nan Zhou, Qiting Huang, Tianjun Wu, Jiancheng Luo, Haiyun Wang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
abandoned land identification
PolSAR
time series
LSTM
deep learning
Online Access:https://www.mdpi.com/2072-4292/15/16/3942

Internet

https://www.mdpi.com/2072-4292/15/16/3942

Similar Items