Satellite image segmentation by mathematical pretopology and automatic classification

Abdelkrim Meziane; Tahar Iftene; Nazha Selmaoui

doi:10.1117/12.295607

22 December 1997 Satellite image segmentation by mathematical pretopology and automatic classification

Abdelkrim Meziane, Tahar Iftene, Nazha Selmaoui

Proceedings Volume 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing; (1997) https://doi.org/10.1117/12.295607
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

Abstract

The image segmentation is the process which permits the image to be partitioned in zones of interest corresponding to scene objects. We propose two algorithms based on the mathematical pretopology and the structuring functions for detecting crests lines in a grey level image at a very high definition. The first algorithm is based on a method of grouping by relaxing propagation on the definition of a pretopological structure on the set to be classified. The second algorithm consists of grouping by extraction of a new pretopology from the one defined initially. It directly detects the crests lines, whereas the first makes it in an indirect way. These methods were tested on a SPOT panchromatic image on the region of Oran. From the results, we could conclude that these methods can be very well be embedded to a process of detection of roads, iron-shod ways, and water courses.

Citation Download Citation

Abdelkrim Meziane, Tahar Iftene, and Nazha Selmaoui "Satellite image segmentation by mathematical pretopology and automatic classification", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295607

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