Coherent Markov Random Field-Based Unreliable DSM Areas Segmentation and Hierarchical Adaptive Surface Fitting for InSAR DEM Reconstruction
A digital elevation model (DEM) can be obtained by removing ground objects, such as buildings, in a digital surface model (DSM) generated by the interferometric synthetic aperture radar (InSAR) system. However, the imaging mechanism will cause unreliable DSM areas such as layover and shadow in the b...
Main Authors: | Qian Qian, Bingnan Wang, Xiaoning Hu, Maosheng Xiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/5/1414 |
Similar Items
-
GB-InSAR-Based DEM Generation Method and Precision Analysis
by: Weiming Tian, et al.
Published: (2019-04-01) -
High Precision DEM Generation Algorithm Based on InSAR Multi-Look Iteration
by: Xiaoming Gao, et al.
Published: (2017-07-01) -
A Coherence Improvement Method Based on Sub-Aperture InSAR for Human Activity Detection
by: Zhongbin Wang, et al.
Published: (2021-02-01) -
Fusion of Multi-Baseline and Multi-Orbit InSAR DEMs with Terrain Feature-Guided Filter
by: Yuting Dong, et al.
Published: (2018-09-01) -
The TanDEM-X DEM Mosaicking: Fusion of Multiple Acquisitions Using InSAR Quality Parameters
by: Astrid Gruber, et al.
Published: (2016-01-01)