Non-Uniform Synthetic Aperture Radiometer Image Reconstruction Based on Deep Convolutional Neural Network

Non-Uniform Synthetic Aperture Radiometer Image Reconstruction Based on Deep Convolutional Neural Network

When observing the Earth from space, the synthetic aperture radiometer antenna array is sometimes set as a non-uniform array. In non-uniform synthetic aperture radiometer image reconstruction, the existing brightness temperature image reconstruction methods include the grid method and array factor f...

Full description

Bibliographic Details
Main Authors: Chengwang Xiao, Xi Wang, Haofeng Dou, Hao Li, Rongchuan Lv, Yuanchao Wu, Guangnan Song, Wenjin Wang, Ren Zhai
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
non-uniform synthetic aperture radiometer
image reconstruction
deep convolution neural network
Online Access:https://www.mdpi.com/2072-4292/14/10/2359

Internet

https://www.mdpi.com/2072-4292/14/10/2359

Similar Items