Results 31 to 40 of about 1,758 (166)

Using Range Split-Spectrum Interferometry to Reduce Phase Unwrapping Errors for InSAR-Derived DEM in Large Gradient Region

open access: yesRemote Sensing, 2022
The use of the conventional interferometric synthetic aperture radar (InSAR) to generate digital elevation models (DEMs) always encounters phase unwrapping (PU) errors in areas with a sizeable topographic gradient.
Wenfei Mao   +10 more
doaj   +1 more source

Using ALOS PALSAR derived high - resolution DInSAR to detect slow - moving landslides in tropical forest: Cameron Highlands, Malaysia [PDF]

open access: yes, 2016
Landslide is one of the natural hazards that pose maximum threat for human lives and property in mountainous regions. Mitigation and prediction of this phenomenon can be done through the detection of landslide-susceptible areas. Therefore, an appropriate
Jebur, Mustafa Neamah   +2 more
core   +2 more sources

PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multibaseline (MB) phase unwrapping (PU), as the core step in MB InSAR, breaks the limitation of phase continuity assumption. However, it still suffers from insufficient noise robustness and low unwrapping efficiency.
Hui Liu   +7 more
doaj   +1 more source

Refined Two-Stage Programming-Based Multi-Baseline Phase Unwrapping Approach Using Local Plane Model

open access: yesRemote Sensing, 2019
The problem of phase unwrapping (PU) in synthetic aperture radar (SAR) interferometry (InSAR) is caused by the measured range differences being ambiguous with the wavelength. Therefore, multi-baseline (MB) is a key processing step of MB InSAR.
Yang Lan, Hanwen Yu, Mengdao Xing
doaj   +1 more source

Statistical mechanics approach to the phase unwrapping problem

open access: yes, 2000
The use of Mean-Field theory to unwrap principal phase patterns has been recently proposed. In this paper we generalize the Mean-Field approach to process phase patterns with arbitrary degree of undersampling.
Alberto Refice   +16 more
core   +1 more source

Recent mass balance of the Purogangri Ice Cap, central Tibetan Plateau, by means of differential X-band SAR interferometry [PDF]

open access: yes, 2013
Due to their remoteness, altitude and harsh climatic conditions, little is known about the glaciological parameters of ice caps on the Tibetan Plateau.
A. Braun   +3 more
core   +1 more source

L2-norm deformation phase unwrapping in mining area driven by matrix pencil model

open access: yesMeikuang Anquan
To address the limitations of traditional phase unwrapping (PU) approaches in differential interferometric synthetic aperture radar (DInSAR) technology which performs poorly in unwrapping low-coherence deformation interferograms in mining areas, an L2 ...
Lei DUAN   +6 more
doaj   +1 more source

BM3D Denoising for a Cluster-Analysis-Based Multibaseline InSAR Phase-Unwrapping Method

open access: yesRemote Sensing, 2022
Multibaseline (MB) phase unwrapping (PU) is a key processing technique in MB interferometric synthetic aperture radar (InSAR). As one of the most popular methods, the cluster analysis (CA)-based MBPU method often suffers from the problem of low noise ...
Zhihui Yuan   +4 more
doaj   +1 more source

Coherent microscopy by laser optical feedback imaging (LOFI) technique

open access: yes, 2011
The application of the non conventional imaging technique LOFI (Laser Optical Feedback Imaging) to coherent microscopy is presented. This simple and efficient technique using frequency-shifted optical feedback needs the sample to be scanned in order to ...
De Chatellus, Hugues Guillet   +4 more
core   +2 more sources

Refined Two-Stage Programming Approach of Phase Unwrapping for Multi-Baseline SAR Interferograms Using the Unscented Kalman Filter

open access: yesRemote Sensing, 2019
Phase unwrapping (PU) represents a key step in the reconstruction of digital elevation models (DEMs) and the monitoring of surface deformation from interferometric synthetic aperture radar (InSAR) data.
YanDong Gao   +5 more
doaj   +1 more source

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