Reinforced Satellite Image Preprocessing and Segmentation using Enhanced Wavelets and Watershed Algorithms

Title: Reinforced Satellite Image Preprocessing and Segmentation using Enhanced Wavelets and Watershed Algorithms
Publisher: Guru Nanak Publications
Series: Volume 1 Issue 1
Authors: Dr.K.M. Sharavana Raju


Abstract

Satellite imagery consists of photos of earth or other planets captured by artificial satellites. Satellite images have many applications in biodiversity conservation, regional planning, meteorology, agriculture, geology, forestry, education, intelligence and warfare. Segmentation is a process of partitioning a satellite image into non-intersection regions and is considered as a important step in many satellite image processing applications. The performance of the segmentation algorithm is very much degraded by the image quality and because of their huge size, is often slow. The present need is an algorithm which can solve both these problems. In this article, a solution that highly enhances the image quality through a simultaneous process that rectifies intensity, adjusts contrast, improves edges and removes unwanted noise is proposed. The reinforced image is then segmented using an enhanced watershed algorithm that uses mean-shift clustering. Experimental results prove that both the proposed enhancement procedure and segmentation algorithm show significant improvement when compared with existing solutions.

Keywords

Reinforced Satellite Image processing, Clustering, Image Segmentation, Watershed algorithm.

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