Statistical and operational performance assessment of multitemporal sar image filtering

Trouvé, E.; Chambenoit, Y.; Classeau, N.; Bolon, Philippe

doi:10.1109/tgrs.2003.817270

Cited by 39 publications

(16 citation statements)

References 27 publications

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“…The reduction of speckle may require pre-analysis spatial filtering, often compromising the resolution of outputs. Similarly, multi-temporal filtering can mitigate speckle with minimal loss of radiometric accuracy and spatial resolution of single channels [95,105,106], allowing detection of fine-scaled abrupt changes, but masking more subtle changes (e.g., increased logging frequency or land use intensity). Speckle reduction over areas potentially undergoing very gradual changes over time is a topic that remains largely understudied.…”

Section: Discussionmentioning

confidence: 99%

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring

et al. 2016

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Abstract:The wealth of complementary data available from remote sensing missions can hugely aid efforts towards accurately determining land use and quantifying subtle changes in land use management or intensity. This study reviewed 112 studies on fusing optical and radar data, which offer unique spectral and structural information, for land cover and use assessments. Contrary to our expectations, only 50 studies specifically addressed land use, and five assessed land use changes, while the majority addressed land cover. The advantages of fusion for land use analysis were assessed in 32 studies, and a large majority (28 studies) concluded that fusion improved results compared to using single data sources. Study sites were small, frequently 300-3000 km 2 or individual plots, with a lack of comparison of results and accuracies across sites. Although a variety of fusion techniques were used, pre-classification fusion followed by pixel-level inputs in traditional classification algorithms (e.g., Gaussian maximum likelihood classification) was common, but often without a concrete rationale on the applicability of the method to the land use theme being studied. Progress in this field of research requires the development of robust techniques of fusion to map the intricacies of land uses and changes therein and systematic procedures to assess the benefits of fusion over larger spatial scales.

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Section: Discussionmentioning

confidence: 99%

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring

et al. 2016

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“…In a more recent comparison of three MT filters, Trouve et al (2003) combined several radiometric performance criteria with with a spatial criterion (edge detection). However, there was no comparison of MT filters with spatial filters.…”

Section: Introductionmentioning

confidence: 99%

Speckle reduction for the forest mapping analysis of multi-temporal Radarsat-1 images

Maghsoudi

Collins

Leckie

2011

International Journal of Remote Sensing

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“…The use of multitemporal radar images has been shown to be an effective method to filter speckle in SAR imagery [1], [16]- [18]. However, in contrast to [1], in this letter, we filtered the SAR imagery in time domain only, which preserves the spatial resolution.…”

Section: Discussionmentioning

confidence: 99%

An Image Transform Based on Temporal Decomposition

Cremer

Urbazaev

Berger

et al. 2018

IEEE Geosci. Remote Sensing Lett.

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Today, very dense synthetic aperture radar (SAR) time series are available through the framework of the European Copernicus Programme. These time series require innovative processing and preprocessing approaches including novel speckle suppression algorithms. Here we propose an image transform for hypertemporal SAR image time stacks. This proposed image transform relies on the temporal patterns only, and therefore fully preserves the spatial resolution. Specifically, we explore the potential of empirical mode decomposition (EMD), a data-driven approach to decompose the temporal signal into components of different frequencies. Based on the assumption that the highfrequency components are corresponding to speckle, these effects can be isolated and removed. We assessed the speckle filtering performance of the transform using hypertemporal Sentinel-1 data acquired over central Germany comprising 53 scenes. We investigated speckle suppression, ratio images, and edge preservation. For the latter, a novel approach was developed. Our findings suggest that EMD features speckle suppression capabilities similar to that of the Quegan filter while preserving the original image resolution.Index Terms-Multitemporal filtering, radar data, speckle, synthetic aperture radar (SAR).

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Statistical and operational performance assessment of multitemporal sar image filtering

Cited by 39 publications

References 27 publications

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring

Speckle reduction for the forest mapping analysis of multi-temporal Radarsat-1 images

An Image Transform Based on Temporal Decomposition

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