Structure extraction from high resolution SAR data on urban areas

Amberg, V.; Coulon, Martial; Marthon, Philippe; Spigai, Marc

doi:10.1109/igarss.2004.1370680

Cited by 17 publications

(12 citation statements)

References 6 publications

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“…Algorithm V.1, which uses the AML estimate as an initial guess, has been used to compute the ML estimator of normalized covariance matrix. It must be noted that in the algorithm shown, f ML and f AML have some additional arguments contrary to their respective equations (11) and (8).…”

Section: Parameter Estimationmentioning

confidence: 87%

“…This is usually dictated by the size of the target to be detected. Some of the most prominent application areas where VHR data are essential are urban structures detection [8], road map detection [9], marine structures and ship detection [10] etc. For such applications single look complex data with the highest possible spatial resolution are essential and multi-looking is not an option.…”

Section: Index Termsmentioning

confidence: 99%

“…The AML estimator of C can be computed using (8). However, as the texture PDF is known (23) and the PDF generating function, h p (q) (13), reduces to an analytical form given in (34), it is desirable to find the ML estimator of normalized covariance matrix.…”

Section: Parameter Estimationmentioning

confidence: 99%

See 2 more Smart Citations

On Single-Look Multivariate $ {\cal G}$ Distribution for PolSAR Data

Khan

Guida

2012

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Section: Parameter Estimationmentioning

confidence: 87%

Section: Index Termsmentioning

confidence: 99%

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On Single-Look Multivariate $ {\cal G}$ Distribution for PolSAR Data

Khan

Guida

2012

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…3) m a -the maximum angle tolerance between segments (fusion, collinearity) 4) m g -the maximum gap between extremes of potentially intersecting segments and the forecasted intersection point (intersection proximity) 5) m p -the maximum displacement between the extracted path and its best piecewise linear approximation 6) m l -the minimum length of a line segment Amberg, Coulon, Marthon, and Spigai propose a method based on dynamic programming and the Hough Transform to extract structures from high resolution SAR data in an urban environment [8]. The first step in the proposed algorithm extracts straight lines from a local region based on the Hough Transform such that these local regions are darker in intensity when compared to neighboring regions.…”

Section: ) Road Intersections Are Densementioning

confidence: 99%

“…Furthermore, there is a lack of a quantifiable measure of the accuracy of the extracted road estimates. Several available algorithms use a "completeness" and "correctness" measure which is a comparison of the extracted road network and the actual network [ [7], [8], [9], [11]], however as previously stated in many situations there is no available truth so these methods are not relevant.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Road Networks by Data Conflation

Singh¹

2014

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A New Method for Improving the Detection Capability of RADAR in the Presence of Noise

Islam

Lee

Hwang

et al. 2016

Emerging Trends and Advanced Technologies for Computational Intelligence

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A RADAR system deals with many different and diverse problems for the last few decades. The detection capability of radar is one of the most important factors. The main objective of radar target detection is to improve probability of detection while reducing probability of a false alarm at the same time. To improve the probability of detection of moving target, a new approach is proposed in this paper using wavelet and Hough transforms. The wavelet de-noising technique is used to remove noise from received signal. Then the image processing technique of the Hough transform is used to detect moving target. To reduce the noises form received signal, we propose a new wavelet threshold function that reduces constant error of soft thresholding and improves the discontinuity of hard thresholding. We present performances of our method on a basis of the new thresholding technique and compare with traditional method. It is shown that detection performance of proposed method is superior to that obtained through traditional method.

show abstract

Structure extraction from high resolution SAR data on urban areas

Cited by 17 publications

References 6 publications

On Single-Look Multivariate $ {\cal G}$ Distribution for PolSAR Data

On Single-Look Multivariate $ {\cal G}$ Distribution for PolSAR Data

Synthesis of Road Networks by Data Conflation

A New Method for Improving the Detection Capability of RADAR in the Presence of Noise

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