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Published in 2017 at "Journal of Forestry Research"
DOI: 10.1007/s11676-017-0528-y
Abstract: Mapping forests is an important process in managing natural resources. At present, due to spectral resolution limitations, multispectral images do not give a complete separation between different forest species. In contrast, advances in remote sensing…
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Keywords:
forest mapping;
multispectral images;
hyperspectral multispectral;
spectral signatures ... See more keywords
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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…
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Keywords:
fusion hyperspectral;
hyperspectral multispectral;
approach;
bayesian nonparametric ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3244992
Abstract: Deep learning methods are popular for hyperspectral and multispectral image (HSI-MSI) fusion to obtain a high-resolution HSI. However, most of them are unsatisfactory due to limited generalization ability and poor interpretability. This article proposes a…
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Keywords:
matrix;
fusion;
multispectral image;
matrix factorization ... See more keywords
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Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3278928
Abstract: Simultaneously fusing hyperspectral (HS), multispectral (MS), and panchromatic (PAN) images brings a new paradigm to generate a high-resolution HS (HRHS) image. In this study, we propose an interpretable model-driven deep network for HS, MS, and…
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Keywords:
network;
fusion;
hyperspectral multispectral;
model ... See more keywords