Application of Morphological Component Analysis to Optical Image Fusion
نویسندگان
چکیده
منابع مشابه
Application of Morphological Component Analysis to Optical Image Fusion
Corresponding Author: Atiampo Kodjo Armand Laboratoire de Recherche en Informatique et Telecommunication, Institut National Polytechnique Félix Houphouet-Boigny, Abidjan, Cote d’Ivoire Email: [email protected] Abstract: The image fusion technique is widely used in remote sensing. Its purpose is to provide comprehensive information without arte facts by combining the partial information from di...
متن کاملMorphological Principal Component Analysis for Hyperspectral Image Analysis
This article deals with the issue of reducing the spectral dimension of a hyperspectral image using principal component analysis (PCA). To perform this dimensionality reduction, we propose the addition of spatial information in order to improve the features that are extracted. Several approaches proposed to add spatial information are discussed in this article. They are based on mathematical mo...
متن کاملImage Fusion Based on Extensions of Independent Component Analysis
Remote sensing image fusion can effectively improve the accuracy of image classification. This paper proposes an image fusion algorithm based on extensions of independent component analysis (ICA) and multi-classifier system. Firstly a novel method of fusing panchromatic and multi-spectral remote sensing images is developed by contourlet transform which can offer a much richer set of directions ...
متن کاملMorphological Component Analysis
The Morphological Component Analysis (MCA) is a a new method which allows us to separate features contained in an image when these features present different morphological aspects. We show that MCA can be very useful for decomposing images into texture and piecewise smooth (cartoon) parts or for inpainting applications. We extend MCA to a multichannel MCA (MMCA) for analyzing multispectral data...
متن کاملMultiband segmentation using morphological clustering and fusion $application to color image segmentation
In this paper we propose a novel approach for color image segmentation. Our approach is based on segmentation of subsets of bands using mathematical morphology followed by the fusion of the resulting segmentation ”channels”. For color images the band subsets are chosen as RG, RB and GB pairs, whose 2D histograms are processed as projections of a 3D histogram. The segmentations in 2D color space...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Applied Sciences
سال: 2017
ISSN: 1546-9239
DOI: 10.3844/ajassp.2017.795.807