Interpretation of multi-aspect high-resolution polarimetric SAR images

被引:0
|
作者
Borghys, D [1 ]
Perneel, C [1 ]
Acheroy, M [1 ]
机构
[1] Royal Mil Acad, Signal & Image Ctr, B-1000 Brussels, Belgium
关键词
multi-aspect SAR images; polarimetric SAR; edge detection; road detection;
D O I
10.1117/12.453958
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The aim of this article is to explore new methods to enhance the results of automatic interpretation of SAR images by combining images acquired from different viewing directions (multi-aspect SAR images). Using tile combined information extracted from multi-aspect images allows to resolve problems of obscurance. by for instance the borders of a forest. to increase the resolution and to augment tile confidence in detection as compared to detection in single images. The article focuses oil high-resolution polarimetric images for the automatic interpretation of an airfield scene. Specifically for this type of images we have developed a set of new image interpretation tools such as edge detectors and bar (line) detectors, both based oil multi-variate statistics. These detectors are briefly described in the article. The main part of the proposed article will focus on how the use of multi-aspect images Call enhance the results of these detectors. The multi-aspect images are supposed to be accurately registered. It is thus possible to warp them into a common coordinate system. Because the spatial resolution of a SAR system is usually not the same in range and azimuth. it is sometimes better to detect objects in each image separately and fuse the results of the detection at the object level. This is particularly true for the detection and delimitation of the buildings. On the other hand, edge detectors can benefit from combined information on a pixel-level. In particular edge detectors based oil multi-variate statistical methods can be applied oil registered images, thus increasing the confidence level of detection and reducing the false alarm rate. by combining the information at a low level. For edge detectors we will compare results, of combining the information available from multi-aspect polarimetric images at different levels. In particular we will compare the result,, of applying them directly to tile registered image set with these obtained when applying them oil each individual image and fusing the results at the object level or intermediate (edge-strength) level. Similar investigations will be presented fur the bar detectors. Results will be shown on a set of polarimetric L-band images of all airfield.
引用
收藏
页码:100 / 111
页数:12
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