Classification of remotely sensed images using decimal coded morphological profiles. Issue 6 (September 2016)

• Record Type: Journal Article
• Authors: Khurshid, Hasnat; Khan, M.
• Is Part Of: Signal, image and video processing. Volume 10:Issue 6(2016)
• Page Start: 1001
• Page End: 1007
• Publication Date: 2016-09
• Subjects: Classification -- Morphological profiles -- Remote sensing imagery; Signal processing -- Digital techniques -- Periodicals; Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; 621.3822
• DOI: 10.1007/s11760-015-0851-8
• Languages: English
• ISSNs: 1863-1703

Abstract

Abstract In this paper, we propose a novel method for pixel classification of remotely sensed images. The proposed method exploits the spatial information of image pixels using morphological profiles produced by structuring elements of different sizes and shapes. Morphological profiles produced by multiple structuring elements are combined into a single feature by decimal coding. The advantage of proposed feature is that it can effectively utilize the potential of multiple morphological profiles without increasing the complexity of feature space. The proposed approach was tested on remotely sensed images with known ground truths, and performance was improved up to 27 % in the overall accuracy results over existing techniques.