ENVISAT ASAR data reduction: impact on SAR interferometry

McLeod, I.H.; Cumming, I.; Seymour, M.S.

doi:10.1109/36.662741

Cited by 44 publications

(23 citation statements)

References 18 publications

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“…As a comparison of the complexity and the performance, usually, the quantitation level for spaceborne SAR is 3 or 4, with the corresponding coherence loss 0.946 or 0.989 [29]. However, the downlink capability of BIBASS is abundant, since the revisit cycle of spaceborne transmitter is several days.…”

Section: Other Decorrelation Factorsmentioning

confidence: 99%

Performance Analysis of Bistatic Interferometer Based on Spaceborne Sar

Zhang¹,

Chang²

2013

PIER

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Abstract-This paper presents the performance analysis of Bistatic Interferometer BAsed on Spaceborne SAR (BIBASS). As a bistatic system with general configuration, the system response of BIBASS is azimuth/range dependent. Taking into account this peculiarity, the appropriate theoretical framework is developed to make a more accurate evaluation of the performance of BIBASS. Firstly, the interferometric features are studied. Then, considering all kinds of de-correlation factors, a comprehensive investigation of coherence of such a system is conducted, followed by the relative height accuracy analysis. The theoretical analysis and simulation show that BIBASS, with the ability of high-precision height measurement, can be widely applied as a novel remote sensing measurement system.

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Section: Other Decorrelation Factorsmentioning

confidence: 99%

Performance Analysis of Bistatic Interferometer Based on Spaceborne Sar

Zhang¹,

Chang²

2013

PIER

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“…The algorithms practically used for raw data compression in spaceborne SAR are block adaptive quantization (BAQ) and flexible block adaptive quantization (FBAQ) [3][4][5][6][7][8][9]. BAQ was first proposed by Jet Propulsion Laboratory and then successfully implemented in many spaceborne SAR systems.…”

Section: Introductionmentioning

confidence: 99%

“…Sir-C satellite also used BAQ with compression ratio of 8:2 [4]. Envisat ASAR has three BAQ compression levels, 8:2, 8:3 and 8:4 [5]. Radarsat-2 used four compression levels, 8:1, 8:2, 8:3 and 8:4 [6].…”

Section: Introductionmentioning

confidence: 99%

A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability

Hua

et al. 2010

Sci. China Inf. Sci.

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SAR raw data signal to noise ratio (SNR) after compression is of great importance since the choice of compression ratio is dependent on it during SAR system design and application analysis. The signal to quantization noise ratio (SQNR) generally used may not precisely indicate the relationship between signal and noise. Considering the thermal noise, a statistical model of quantization interval transfer probability is proposed in this paper. SNR mapping between SAR raw data before analog to digital converter (ADC) and after block adaptive quantization (BAQ) over the whole set of saturation degree is obtained using this model. When the power of echo is small with low SNR, after 1, 2, 3 or 4 bits BAQ compression, SNR has tiny difference among the four compression levels. When the power of the echo is medium with higher SNR, the SNR degradation after BAQ is about 5 dB with each bit decreasing from 4 bits. If voltage of the echo is higher than the clipping point of ADC, SNR after ADC and BAQ degrades stepwise. The higher the saturation degree of SAR raw data, the worse the SNR is. Simulated Gaussian data and real SAR raw data are used to verify the theoretical results, which are useful in the choice of BAQ compression ratio and further application analysis. CitationLi X, Qi H M, Hua B, et al. A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability.

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“…In some sense, compression algorithms can be divided into three categories: 1) scalar compression algorithm; 2) vector compression algorithm; and 3) transform domain compression algorithm. Scalar compression algorithm includes block adaptive quantization (BAQ) [1] , amplitude and phase (AP) [2] , block floating point quantization (BFPQ) [3] , fuzzy BAQ (FBAQ) [4,5] , entropy-constrained BAQ (ECBAQ) [4,5] , and flexible block adaptive quantization (FBAQ) [6] . Vector compression algorithm includes vector quantization (VQ) [4,5] , block adaptive vector quantization (BAVQ) [4,5] , and trellis coded vector quantization (TCVQ) [4] .…”

Section: Introductionmentioning

confidence: 99%

Piecewise linear mapping algorithm for SAR raw data compression

Chen

2008

Sci. China Ser. F-Inf. Sci.

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When the saturation degree (SD) of space-borne SAR raw data is high, the performance of conventional block adaptive quantization (BAQ) deteriorates obviously. In order to overcome the drawback, this paper studies the mapping between the average signal magnitude (ASM) and the standard deviation of the input signal (SDIS) to the A/D from the original reference. Then, it points out the mistake of the mapping and introduces the concept of the standard deviation of the output signal (SDOS) from the A/D. After that, this paper educes the mapping between the ASM and SDOS from the A/D. Monte-Carlo experiment shows that none of the above two mappings is the optimal in the whole set of SD. Thus, this paper proposes the concept of piecewise linear mapping and the searching algorithm in the whole set of SD. According to the linear part, this paper gives the certification and analytical value of k and for nonlinear part, and utilizes the searching algorithm mentioned above to search the corresponding value of k. Experimental results based on simulated data and real data show that the performance of new algorithm is better than conventional BAQ when raw data is in heavy SD.synthetic aperture radar (SAR), raw data, saturation, compression, block adaptive quantization (BAQ)

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ENVISAT ASAR data reduction: impact on SAR interferometry

Cited by 44 publications

References 18 publications

Performance Analysis of Bistatic Interferometer Based on Spaceborne Sar

Performance Analysis of Bistatic Interferometer Based on Spaceborne Sar

A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability

Piecewise linear mapping algorithm for SAR raw data compression

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