Application of log-cumulants to the detection of spatiotemporal discontinuities in multitemporal SAR images

Bujor, F.; Trouvé, E.; Valet, Lionel; Nicolas, Jean‐Marie; Rudant, Jean-Paul

doi:10.1109/tgrs.2004.835304

Cited by 108 publications

(48 citation statements)

References 33 publications

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“…The second and third order log-cumulants have been proposed to reveal spatial features and temporal changes [5]. In homogeneous areas, the third order logcumulantκ 3 is close to the theoretical value Ψ ′′ (L) where Ψ ′′ is the second derivative of the Digamma function and L the number of looks.…”

Section: Rd Order Log-cumulantmentioning

confidence: 65%

“…• an attribute which characterizes the target coherence in each interferogram, the "sub-band coherence" [2], • a texture multi-temporal feature derived from the second kind statistics (the 3rd order log-cumulants) which characterize the presence of coherent targets from their intensity in the time series [5], The fuzzy fusion of such attributes provides information on the preservation of the interferometric coherence over the studied glaciers for velocity measurements, both on pointwise and distributed targets, usually called coherent or non-coherent targets according to the length of the antenna aperture where the target back-scattered signal remains coherent. Moreover, possible candidates for coherent and stable scatterers (CSS) are obtained for further CSS processing [3].…”

Section: Introductionmentioning

confidence: 99%

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Coherent-stable scatterers detection in SAR multi-interferograms: Feature fuzzy fusion in Alpine glacier geophysical context

Vasile

Trouvé

Valet

et al. 2007

2007 IEEE International Geoscience and Remote Sensing Symposium

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Section: Rd Order Log-cumulantmentioning

confidence: 65%

Section: Introductionmentioning

confidence: 99%

Coherent-stable scatterers detection in SAR multi-interferograms: Feature fuzzy fusion in Alpine glacier geophysical context

Vasile

Trouvé

Valet

et al. 2007

2007 IEEE International Geoscience and Remote Sensing Symposium

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“…This detection method is robust to speckle noise, but it is limited to the comparison of first-order statistics. Bujor et al [43] studied higher-order statistics for change detection in SAR images and concluded that the ratio of means was useful for step changes and that the secondand third-order log-cumulants were useful for progressive changes appearing in consecutive images in multi-temporal series. Because we aimed to detect larges changes at one-year temporal frequency in this study (three years for forest regrowth), we assumed that a modification of the local mean value is sufficiently reliable to detect changes.…”

Section: Forest Disturbances and Regrowth Detection Indicatorsmentioning

confidence: 99%

Forest Disturbances and Regrowth Assessment Using ALOS PALSAR Data from 2007 to 2010 in Vietnam, Cambodia and Lao PDR

Mermoz

Toan

2016

Remote Sensing

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This paper aims to develop a new methodology for monitoring forest disturbances and regrowth using ALOS PALSAR data in tropical regions. In the study, forest disturbances and regrowth were assessed between 2007 and 2010 in Vietnam, Cambodia and Lao People's Democratic Republic. The deforestation rate in Vietnam has been among the highest in the tropics in the last few decades, and those in Cambodia and Lao are increasing rapidly. L-band ALOS PALSAR mosaic data were used for the detection of forest disturbances and regrowth, because L-band SAR intensities are sensitive to forest aboveground biomass loss. The methodology used here combines SAR data processing, which is particularly suited for change detection, forest detection and forest disturbances and regrowth detection using expectation maximization, which is closely related to fuzzy logic. A reliable training and testing database has been derived using AVNIR-2 and Google Earth images for calibration and validation. Efforts were made to apply masking areas that are likely to show different SAR backscatter temporal behaviors from the forests considered in the study, including mangroves, inundated forests, post-flooding or irrigated croplands and water bodies, as well as sloping areas and urban areas. The resulting forest disturbances and regrowth map (25-m resolution) indicates disturbance rates of −1.07% in Vietnam, −1.22% in Cambodia and −0.94% in Lao between 2007 and 2010, with corresponding aboveground biomass losses of 60.7 Tg, 59.2 Tg and 83.8 Tg, respectively. It is expected that the method, relying on free of charge data (ALOS and ALOS2 mosaics), can be applied widely in the tropics.

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“…Most of these studies utilized a CD (Change Detection) method that incorporated a DI (Difference Image) made from data of only two dates (one pre-disaster, one post-disaster data), to detect a change in areas (Bovolo and Bruzzone, 2007). Although multitemporal SAR data provides more information about disasters (Bujor et al, 2004;Gamba et al, 2007), the conventional CD methods utilize only two dates, which limits the information that can be provided.…”

Section: Introductionmentioning

confidence: 99%

A Similarity Weight-based Method to Detect Damage Induced by a Tsunami

Jeon¹,

Kim²,

Kim³

2016

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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Among the various remote sensing sensors compared to the electro-optical sensors, SAR (Synthetic Aperture Radar) is very suitable for assessing damaged areas induced by disaster events owing to its all-weather day and night acquisition capability and sensitivity to geometric variables. The conventional CD (Change Detection) method that uses two-date data is typically used for mapping damage over extensive areas in a short time, but because data from only two dates are used, the information used in the conventional CD is limited. In this paper, we propose a novel CD method that is extended to use data consisting of two pre-disaster SAR data and one post-disaster SAR data. The proposed CD method detects changes by using a similarity weight image derived from the neighborhood information of a pixel in the data from the three dates. We conducted an experiment using three single polarization ALOS PALSAR (Advanced Land Observing Satellite/Phased Array Type L-Band) data collected over Miyagi, Japan which was seriously damaged by the 2011 east Japan tsunami. The results demonstrated that the mapping accuracy for damaged areas can be improved by about 26% with an increase of the g-mean compared to the conventional CD method. These improved results prove the performance of our proposed CD method and show that the proposed CD method is more suitable than the conventional CD method for detecting damaged areas induced by disaster. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Application of log-cumulants to the detection of spatiotemporal discontinuities in multitemporal SAR images

Cited by 108 publications

References 33 publications

Coherent-stable scatterers detection in SAR multi-interferograms: Feature fuzzy fusion in Alpine glacier geophysical context

Coherent-stable scatterers detection in SAR multi-interferograms: Feature fuzzy fusion in Alpine glacier geophysical context

Forest Disturbances and Regrowth Assessment Using ALOS PALSAR Data from 2007 to 2010 in Vietnam, Cambodia and Lao PDR

A Similarity Weight-based Method to Detect Damage Induced by a Tsunami

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