SAR2HEIGHT: Height Estimation from a Single SAR Image in Mountain Areas via Sparse Height and Proxyless Depth-Aware Penalty Neural Architecture Search for Unet
Height estimation from a single Synthetic Aperture Radar (SAR) image has demonstrated a great potential in real-time environmental monitoring and scene understanding. The projection of a single 2D SAR image from multiple 3D height maps is an ill-posed problem in mathematics. Although Unet has been w...
Main Authors: | Minglong Xue, Jian Li, Zheng Zhao, Qingli Luo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/21/5392 |
Similar Items
-
Correcting Underestimation and Overestimation in PolInSAR Forest Canopy Height Estimation Using Microwave Penetration Depth
by: Hongbin Luo, et al.
Published: (2022-12-01) -
Truncated pulse height estimator based on an improved UNet model
by: TANG Lin, et al.
Published: (2023-11-01) -
Spaceborne Multifrequency PolInSAR-Based Inversion Modelling for Forest Height Retrieval
by: Shashi Kumar, et al.
Published: (2020-12-01) -
Forest Height Retrieval Based on the Dual PolInSAR Images
by: Tayebe Managhebi, et al.
Published: (2022-09-01) -
A Review of Forest Height Inversion by PolInSAR: Theory, Advances, and Perspectives
by: Cheng Xing, et al.
Published: (2023-07-01)