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Temporal Decorrelation-Robust SAR Tomography
IEEE Transactions on Geoscience and Remote Sensing, 2014Much interest is continuing to grow in advanced interferometric synthetic aperture radar (SAR) methods for full 3-D imaging, particularly of volumetric forest scatterers. Multibaseline (MB) SAR tomographic elevation beam forming, i.e., spatial spectral estimation, is a promising technique in this framework.
Fabrizio Lombardini, Francesco Cai
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The Impact of Temporal Decorrelation on BIOMASS Tomography of Tropical Forests
IEEE Geoscience and Remote Sensing Letters, 2015The objective of this letter is to provide a better understanding of the impact of temporal decorrelation on the tomographic phase of the P-band synthetic aperture radar (SAR) mission BIOMASS, selected as the Seventh Earth Explorer by the European Space Agency.
Dinh Ho Tong Minh +2 more
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Differential SAR Tomography Reconstruction Robust to Temporal Decorrelation Effects
IEEE Transactions on Geoscience and Remote Sensing, 2019Temporal decorrelation is one of the major problems in synthetic aperture radar (SAR) tomography (TomoSAR) of a natural environment that leads to blurring and spreading in focused image space. In the context of spatiotemporal focusing using the multi-temporal multi-baseline (MB) SAR data, a model-based differential TomoSAR is employed.
Hossein Aghababaei +2 more
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Temporal Decorrelation of Scattered GNSS Signals
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021The Global Navigation Satellite System Reflectometry (GNSS-R) is an emerging remote sensing technique based on the exploitation of scattered navigation signals for monitoring bio-geophysical parameters of the Earth surface. The receiver is placed onboard of airborne or spaceborne platforms, whose movement can affect the feature of the gathered signals.
Comite D., Pierdicca N.
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Spatial-temporal decorrelation for image/video coding
2012 Picture Coding Symposium, 2012Modern image/video compression techniques greatly help to store and transmit digital images and video data. Discrete wavelet transform is used in JPEG2000 because of its scalability and tolerable degradation. In H.264/AVC, predictive coding is employed to remove spatial redundancy before discrete cosine transform.
Miaohui Wang +2 more
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Temporal decorrelation of short laser pulses
Journal of the Optical Society of America B, 1998We describe a unique approach for extracting the temporal profile of ultrashort laser pulses from typical autocorrelation measurements. The use of the constraint that intensity is a nonnegative quantity enables an iterative numerical algorithm to reconstruct pulse shapes in a one-dimensional procedure.
J. Peatross, A. Rundquist
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Speaker verification using temporal decorrelation post-processing
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992A text-dependent method of speaker verification processing which utilizes the statistical correlation between measured features of speech across whole words is described. The correlation is used in a linear discriminant analysis to define uncorrelated world-level features as a metric.
Lorin Netsch, George R. Doddington
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Temporal Decorrelation in Repeat-Pass Radar Interferometry
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium, 2005Correlation in pass-to-pass, interferometric radar can be degraded by thermal noise, lack of parallelism between the radar flight tracks, spatial baseline noise, and surficial change. The effects of decorrelation due to thermal noise can be easily evaluated and removed, while those due slight angular changes between flight tracks are negligible for ...
J. Villasenor, H. Zebker
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Studies of decorrelation in multi-temporal SAR imagery
1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 2002The temporal coherence of SAR images of forested and cultivated countryside in South East England has been studied using data from ERS-1. Data from the 3 day repeat cycle generally exhibits the highest coherence, and coherent signatures can be used to differentiate between cultivated and forested regions.
D.G. Corr, G.E. Keyte, S. Whitehouse
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Temporal backscattering coefficient decorrelation in burned areas
Active and Passive Microwave Remote Sensing for Environmental Monitoring II, 2018Fire is considered an essential climate variable (ECV) by the Global Climate Observing System (GCOS). Remote sensing is often used to detect the burned areas and subsequently estimate CO2 emissions from wildfires. Most burned area mapping approaches are based on optical images.
Emilio Chuvieco +3 more
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