Time-space filtering of multitemporal SAR images

Colţuc, Daniela; Trouvé, E.; Bujor, F.; Classeau, N.; Rudant, Jean-Paul

doi:10.1109/igarss.2000.860286

Cited by 16 publications

(15 citation statements)

References 5 publications

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“…This summation weights are then applied in the approach [16]. In [17], the time-space filter uses discrete cosine transform (DCT) to transform time axis into frequency axis. Then, a spatial adaptive filter is used to reduce the noise on each frequency channel, except on the zero frequency channel in order to preserve the spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Multitemporal SAR Image Filtering Based on the Change Detection Matrix

Lê¹,

Atto²,

Trouvé³

et al. 2014

IEEE Geosci. Remote Sensing Lett.

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5 pagesInternational audienceThis letter presents an adaptive filtering approach of synthetic aperture radar (SAR) image times series based on the analysis of the temporal evolution. First, change detection matrices (CDMs) containing information on changed and unchanged pixels are constructed for each spatial position over the time series by implementing coefficient of variation (CV) cross tests. Afterwards, the CDM provides for each pixel in each image, an adaptive spatiotemporal neighborhood which is used to derive the filtered value. The proposed approach is illustrated on a time series of 25 ascending TerraSAR-X images acquired from November 6, 2009 to September 25, 2011 over the Chamonix-MontBlanc test-site which includes different kinds of change such as parking occupation, glacier surface evolution, etc

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Section: Introductionmentioning

confidence: 99%

Adaptive Multitemporal SAR Image Filtering Based on the Change Detection Matrix

Lê¹,

Atto²,

Trouvé³

et al. 2014

IEEE Geosci. Remote Sensing Lett.

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show abstract

“…In this section, the performance of the proposed filter is studied and compared to the Hadamard-Wiener filter and the homomorphic DCT-Wiener filter given in [3] and [4]. These two existing filters are motion compensated ones and the motion estimation technique used here is the exhaustive block matching algorithm (EBMA) [5].…”

Section: Resultsmentioning

confidence: 99%

“…This paper is concerned with the problem of reducing speckle in videos. To the best knowledge of the authors, such a problem has been considered only in [3] and [4]. A good filtering technique for videos must take advantage of the correlation existing in both the spatial and the temporal directions of the signal.…”

Section: Introductionmentioning

confidence: 99%

“…They have shown that in either case the Hadamard transform could be applied in the temporal direction to the corrupted signal to remove the correlation between the successive frames, followed by the use of the edge adaptive Wiener filter to smooth the frames. In [4], a homomorphic system has been used to reduce the speckle from a video. After the forward homomorphic transform, the discrete cosine transform is applied in the temporal direction followed by the application of the edge-adaptive Wiener filter to each frame.…”

Section: Introductionmentioning

confidence: 99%

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A homomorphic system to reduce speckle in videos

Sen¹,

Swamy²,

Ahmad³

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.

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In this paper, we propose an unbiased homomorphic system to reduce speckle in videos. The speckle is modeled as a multiplicative noise having a lognormal distribution. In the proposed homomorphic system, first, the natural logarithm function is applied on the corrupted signal to transform the multiplicative nature of the noise into an additive one. Then, a spatial filter is applied to the signal obtained after the transformation. This is followed by the application of a temporal filter, which uses a change detection technique to measure the interframe motion, to the output of the spatial filter. The spatial estimate obtained from the spatial filter and the spatiotemporal estimate at the output of the temporal filter are then combined in a suitable way to get an intermediate signal. Exponentiation is then applied to this intermediate signal to get an estimate of the original signal. Then a technique to compensate for the biasing that occurs within the homomorphic system is applied to the output of the system in order to get an unbiased estimate of the original signal. The quantitative and the qualitative performance of the proposed system are studied and compared with that of the two existing schemes. It is found that the proposed filters have much less processing time and also perform better noise reduction compared to the other two.

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“…• spatio-temporal filtering (on registered data) using a logarithmic and a temporal DCT transform, followed by a spacial statistical filter applied on DCT channels and back transforms [5], • temporal filtering (on registered data) with a statistical approach on the time axis [6]. Fig.…”

Section: Filtering Approachesmentioning

confidence: 99%

Performance assessment of multitemporal SAR images' visual interpretation

Chambenoit¹,

Classeau²,

Trouvé³

et al.

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)

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Trying to compute or find items on SAR images, is often hard to achieve for photo-interpreters due to the speckle. Hence, the choice of a filtering approach often appears to be a tough choice. With the large number of images acquired on an area it is now possible to use multitemporal filters. When using those kind of filters the difficulty lies in finding a trade-off between temporal and/or spatial loss. Most of the time photo-interpreters set their choice on a subjective criterion. In this paper visual interpretation performance is tested to achieve an objectivity on the choice of different filtering approaches.

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Time-space filtering of multitemporal SAR images

Cited by 16 publications

References 5 publications

Adaptive Multitemporal SAR Image Filtering Based on the Change Detection Matrix

Adaptive Multitemporal SAR Image Filtering Based on the Change Detection Matrix

A homomorphic system to reduce speckle in videos

Performance assessment of multitemporal SAR images' visual interpretation

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