Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction
We present a review of small baseline interferometric synthetic aperture radar (InSAR) time
series analysis with a new processing workflow and software implemented in Python …
series analysis with a new processing workflow and software implemented in Python …
InSAR deformation analysis with distributed scatterers: A review complemented by new advances
Interferometric Synthetic Aperture Radar (InSAR) is a powerful remote sensing technique
able to measure deformation of the earth's surface over large areas. InSAR deformation …
able to measure deformation of the earth's surface over large areas. InSAR deformation …
Distributed scatterer interferometry with the refinement of spatiotemporal coherence
M Jiang, AM Guarnieri - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
The state-of-the-art techniques have demonstrated that coherence error degrades the
performance of synthetic aperture radar (SAR) interferometry (InSAR) for distributed …
performance of synthetic aperture radar (SAR) interferometry (InSAR) for distributed …
Efficient phase estimation for interferogram stacks
Signal decorrelation poses a limitation to multipass SAR interferometry. In pursuit of
overcoming this limitation to achieve high-precision deformation estimates, different …
overcoming this limitation to achieve high-precision deformation estimates, different …
Radar interferometry: 20 years of development in time series techniques and future perspectives
The research and improvement of methods to be used for deformation measurements from
space is a challenge. From the previous 20 years, time series Synthetic Aperture Radar …
space is a challenge. From the previous 20 years, time series Synthetic Aperture Radar …
Sequential estimator: Toward efficient InSAR time series analysis
Wide-swath synthetic aperture radar (SAR) missions with short revisit times, such as
Sentinel-1 and the planned NISAR and Tandem-L, provide an unprecedented wealth of …
Sentinel-1 and the planned NISAR and Tandem-L, provide an unprecedented wealth of …
Use of LSTM for sinkhole-related anomaly detection and classification of InSAR deformation time series
Sinkholes exhibit precursory deformation patterns. Such deformation patterns can be
studied using InSAR time-series analysis over constantly coherent scatterrers (CCS). In the …
studied using InSAR time-series analysis over constantly coherent scatterrers (CCS). In the …
[HTML][HTML] Characterizing and correcting phase biases in short-term, multilooked interferograms
Abstract Interferometric Synthetic Aperture Radar (InSAR) is widely used to measure
deformation of the Earth's surface over large areas and long time periods. A common …
deformation of the Earth's surface over large areas and long time periods. A common …
Improving time-series InSAR deformation estimation for city clusters by deep learning-based atmospheric delay correction
Atmospheric delay (AD) is the main source of error in time-series interferometric synthetic
aperture radar (InSAR) deformation estimation over large areas. In this study, we propose a …
aperture radar (InSAR) deformation estimation over large areas. In this study, we propose a …
[HTML][HTML] InSAR 滑坡监测研究进展
朱建军， 胡俊， 李志伟， 孙倩， 郑万基 - 2022 - xb.chinasmp.com
InSAR 技术的发展及数据的丰富, 使其成为了滑坡监测中的重要手段之一. 本文首先从InSAR
滑坡监测的数据选择开始, 介绍不同数据, 场景对于InSAR 滑坡监测的影响; 其次 …
滑坡监测的数据选择开始, 介绍不同数据, 场景对于InSAR 滑坡监测的影响; 其次 …