Synthetic Aperture Radar Edge Detection With Canny's Procedure and a Gravitational Approach

Silva, G. P.; Sandri, Sandra; Frery, Alejandro C.

doi:10.1142/9789814619998_0027

Cited by 1 publication

(4 citation statements)

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“…However, the present study and [15] differ in the scope of the proposed approach as well as in the reliability of the results. Indeed, in [15], only one simulated image was used in the experiments and only Canny's technique was compared to its results. Moreover, in the previous paper we only addressed the edge detection of the image resulting from the aggregation of the three simulated polarization images.…”

Section: Introductionmentioning

confidence: 65%

“…Using both visual inspection and the Baddeley Delta metric [14] we verified that the combination with the Lopez-Molina technique with the 9 Â 9 neighbourhood proposed by Fu et al [10] and preprocessing with the Enhanced Lee filter produced the best results. This paper is an extended version of [15]; together, these studies represent a first step towards investigating the use of edge detection methods derived from Computational Intelligence techniques for use in SAR images. The main implication of our results is that the joint use filtering and neighbourhood modification on those methods, as well as the use of aggregation of the individual polarization images, are able to deal with speckle, which is crucial when detecting edges in radar imagery.…”

Section: Discussionmentioning

confidence: 99%

“…The effect of preprocessing the images through filtering is also studied, using the filter described by Torres et al [12] and the Enhanced Lee filter [11]. We study the behaviour of Lopez-Molina's method with the usual 3 Â 3 window as well as a modified version of this approach, proposed in a previous paper [15], involving the neighbourhood proposed by Fu et al [10].…”

Section: Methodsmentioning

confidence: 99%

“…The present study is an extended version of [15], in which some of the main ideas of this paper were first delineated. However, the present study and [15] differ in the scope of the proposed approach as well as in the reliability of the results.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optical images-based edge detection in Synthetic Aperture Radar images

Silva

Frery

Sandri

et al. 2015

Knowledge-Based Systems

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We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by Lopez-Molina et al, using the non-standard neighbourhood configuration proposed by Fu et al, to reduce the speckle noise in polarimetric SAR imagery. We compare the modified and unmodified versions of the gravitational edge detection technique with the well-established one proposed by Canny, as well as with a recent multiscale fuzzy-based technique proposed by Lopez-Molina et Alejandro We also address the issues of aggregation of gray level images before and after edge detection and of filtering. All techniques addressed here are applied to a mosaic built using class distributions obtained from a real scene, as well as to the true PolSAR image; the mosaic results are assessed using Baddeley's Delta Metric. Our experiments show that modifying the gravitational edge detection technique with a non-standard neighbourhood configuration produces better results than the original technique, as well as the other techniques used for comparison. The experiments show that adapting edge detection methods from Computational Intelligence for use in PolSAR imagery is a new field worthy of exploration.Comment: Accepted for publication in Knowledge-Based System

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Section: Introductionmentioning

confidence: 65%

Section: Discussionmentioning

confidence: 99%