Multispectral edge detection in remote sensing images

J. Vandeneede; D. Zhang; Patrick Wambacq; Andre J. Oosterlinck

doi:10.1117/12.196765

30 December 1994 Multispectral edge detection in remote sensing images

J. Vandeneede, D. Zhang, Patrick Wambacq, Andre J. Oosterlinck

Proceedings Volume 2315, Image and Signal Processing for Remote Sensing; (1994) https://doi.org/10.1117/12.196765
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

The research work reported in this paper deals with edge information derived from the individual bands of multispectral satellite images. The combination of this edge information in a meaningful way should lead to an edge image that is more complete than those extracted from any single band. For the extraction of edges from an individual band, three commonly used approximations of the first derivative of a function f(x,y) were tested. Gradient based edge detectors were selected because methods based on vector algebra can be considered to combine them. Furthermore single pixel wide edges can be obtained using both the magnitude and orientation information. As a first method to combine edges from individual planes the algebraic vector sum is evaluated. A second method consists of computing new edge components from the rms values of the corresponding single band components. A third way to combine edges is to take as magnitude the largest magnitude found in any of the bands. The corresponding orientation value is used as the multispectral edge orientation. The last method implements the only correct formulation of the multispectral gradient according to Di Zenzo which is based on the tensor gradient associated with a vector field. As shown in the paper, the last two methods produce acceptable and comparable edge combinations.

Citation Download Citation

J. Vandeneede, D. Zhang, Patrick Wambacq, and Andre J. Oosterlinck "Multispectral edge detection in remote sensing images", Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); https://doi.org/10.1117/12.196765

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