Publication Name: Australasian Exploration Geoscience Conference 2019
Authors: Tauqir Moughal*, Abeer Mazher, Irina Emelyanova, Fusheng Yu
Date Published: September 2019
Number of Pages: 4
Abstract:
The massive availability of remote sensing data and advances in data analytics have improved the capacity for mapping land cover and subsurface.
Specifically, in case of multi-sensor remote sensing images, the independent analysis of each image ignores the valuable complementary information available in other images. To address this problem, a framework of multi-sensor image analysis using fuzzy collaborative clustering is proposed. The proposed framework avoids the independent analysis of each image but combines the information available in one image with the complementary information given by all the other images for improved image understanding and segmentation.