TY - JOUR
T1 - Distributed scatterer interferometry for forested and hilly areas using a topographical homogeneous filtering
AU - Shi, Guoqiang
AU - Huang, Bo
AU - Ma, Peifeng
AU - Lin, Hui
N1 - Funding Information:
This work is supported by the National Key Research and Development Project (2019YFC1510400), the AoE project from the Research Grants Council of Hong Kong (Research Grants Council, University Grants Committee AoE/E-603/18), and the research fellow scheme from the Chinese University of Hong Kong. ALOS-1 and LiDAR data are provided by JAXA, Japan and CEDD of Hong Kong, respectively. Levelling data were obtained by the airport conducted fieldwork. We thank Dr. L. Wan for providing the NDVI data. We also thank the editor and anonymous reviewers for their helpful comments and suggestions.
Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022/2
Y1 - 2022/2
N2 - The application of interferometric synthetic aperture radar (InSAR) has been challenged over hilly and vegetated regions due to significant phase decorrelation. The spatiotemporal filtering techniques can partially overcome this, whereas the so-called ‘homogeneous pixels’ are selected based on the synthetic aperture radar (SAR) datasets and the computation is not satisfactorily efficient. In this letter, we propose the idea of interferogram homogeneous filtering relying on Light Detection and Ranging (LiDAR) derived topography features, instead of using amplitude or phase from the SAR images. The method exploits terrain slope and aspect to cluster topographically homogeneous pixels (THPs) and uses a coherence weighted phase-link (WPL) algorithm to reconstruct pixel phase histories. We compare the proposed method with two representative strategies, i.e., the amplitude statistically homogeneous pixels (SHPs) and the similar time-series interferometric phase pixels (STIPs). Results are given using L-band ALOS-1 data covering the forested Island of Lantau, Hong Kong. It is demonstrated that the LiDAR-derived THP has substantially decreased the computation load whereas the coherence of phase and the InSAR parameter estimation have been improved.
AB - The application of interferometric synthetic aperture radar (InSAR) has been challenged over hilly and vegetated regions due to significant phase decorrelation. The spatiotemporal filtering techniques can partially overcome this, whereas the so-called ‘homogeneous pixels’ are selected based on the synthetic aperture radar (SAR) datasets and the computation is not satisfactorily efficient. In this letter, we propose the idea of interferogram homogeneous filtering relying on Light Detection and Ranging (LiDAR) derived topography features, instead of using amplitude or phase from the SAR images. The method exploits terrain slope and aspect to cluster topographically homogeneous pixels (THPs) and uses a coherence weighted phase-link (WPL) algorithm to reconstruct pixel phase histories. We compare the proposed method with two representative strategies, i.e., the amplitude statistically homogeneous pixels (SHPs) and the similar time-series interferometric phase pixels (STIPs). Results are given using L-band ALOS-1 data covering the forested Island of Lantau, Hong Kong. It is demonstrated that the LiDAR-derived THP has substantially decreased the computation load whereas the coherence of phase and the InSAR parameter estimation have been improved.
UR - http://www.scopus.com/inward/record.url?scp=85125701346&partnerID=8YFLogxK
U2 - 10.1080/2150704X.2022.2039414
DO - 10.1080/2150704X.2022.2039414
M3 - Journal article
AN - SCOPUS:85125701346
SN - 2150-704X
VL - 13
SP - 460
EP - 469
JO - Remote Sensing Letters
JF - Remote Sensing Letters
IS - 5
ER -