Fusion of Hyperspectral and Multispectral Images Based on a Bayesian Nonparametric Approach
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2902847
Abstract: This paper presents a new approach to fusion of hyperspectral and multispectral images based on Bayesian nonparametric sparse representation. The approach formulates the image fusion problem within a constrained optimization framework, while assuming that the… read more here.
Keywords: fusion hyperspectral; hyperspectral multispectral; approach; bayesian nonparametric ... See more keywords
Fusion of Hyperspectral and LiDAR Data With a Novel Ensemble Classifier
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2816958
Abstract: Due to the development of sensors and data acquisition technology, the fusion of features from multiple sensors is a very hot topic. In this letter, the use of morphological features to fuse a hyperspectral (HS)… read more here.
Keywords: fusion hyperspectral; ensemble classifier; lidar data; morphological features ... See more keywords
Sparsity Constrained Fusion of Hyperspectral and Multispectral Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3146248
Abstract: Fusing a Hyperspectral image (HSI) and a multispectral image (MSI) from different sensors is an economic and effective approach to get an image with both high spatial and spectral resolution, but localized changes between the… read more here.
Keywords: constrained fusion; sparsity constrained; hyperspectral msis; fusion hyperspectral ... See more keywords
Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2726901
Abstract: The availability of diverse data captured over the same region makes it possible to develop multisensor data fusion techniques to further improve the discrimination ability of classifiers. In this paper, a new sparse and low-rank… read more here.
Keywords: sparse low; fusion hyperspectral; fusion; low rank ... See more keywords