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Proceedings Paper

Feature detection from IKONOS pan imagery based on phase congruency
Author(s): Pengfeng Xiao; Xuezhi Feng; Shuhe Zhao
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Paper Abstract

Phase Congruency is introduced as a frequency-domain based method to detect features from high-resolution remotely sensed imagery. Three types of objects were selected from the IKONOS pan imagery in Nanjing, i.e. paddy, road, and workshop objects. The Phase Congruency feature images were obtained by applying Phase Congruency model to these images with 2 octave log Gabor wavelets filters over 5 scales and 6 orientations. The outputs of space-domain based detectors Sobel and Canny are also presented for comparing to Phase Congruency. It is then shown the results that the magnitude of Phase Congruency response is largely independent of image local illumination and contrast, and Phase Congruency marks the line with a single response, not two. It is followed by a set of results illustrating the effects of varying filter parameters and noise in the calculation of Phase Congruency. It is found that Phase Congruency can obtain more accurate localization than space-domain based detectors because it does not need low-pass filtering to restrain noise first. The results also show that the noise has been successfully ignored in the smooth regions of the image, unlike the Canny detector results fluctuate all over the image.

Paper Details

Date Published: 29 September 2006
PDF: 10 pages
Proc. SPIE 6365, Image and Signal Processing for Remote Sensing XII, 63650F (29 September 2006); doi: 10.1117/12.689595
Show Author Affiliations
Pengfeng Xiao, Nanjing Univ. (China)
Xuezhi Feng, Nanjing Univ. (China)
Shuhe Zhao, Nanjing Univ. (China)


Published in SPIE Proceedings Vol. 6365:
Image and Signal Processing for Remote Sensing XII
Lorenzo Bruzzone, Editor(s)

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