High-resolution synthetic aperture radar image classification using multi-scale anisotropic convolutional sparse coding

Abstract
The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous other commercial and scientific applications.
Funding Information
  • National Natural Science Foundation of China (61871312)
  • National Natural Science Foundation of China (61772390)