A Graph-Based Superpixel Segmentation Approach Applied to Pansharpening

In this paper, an image-driven regional pansharpening technique based on simplex optimization analysis with a graph-based superpixel segmentation strategy is proposed. This fusion approach optimally combines spatial information derived from a high-resolution panchromatic (PAN) image and spectral inf...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 25; no. 16; p. 4992
Main Author:	Hallabia, Hind
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 12.08.2025 MDPI
Subjects:	Algorithms Clustering Deep learning graph-based superpixels Neural networks region adjacency graph (RAG) merging regression analysis Regularization methods Remote sensing Sensors simple linear iterative clustering (SLIC) simplex algorithm Wavelet transforms France simple linear iterative clustering (SLIC) simplex algorithm graph-based superpixels region adjacency graph (RAG) merging regression analysis
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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