Results 41 to 50 of about 10,052 (204)
Correlation Matrix-Based Fusion of Hyperspectral and Multispectral Images
Remote Sensing, 2023 The fusion of the hyperspectral image (HSI) and the multispectral image (MSI) is commonly employed to obtain a high spatial resolution hyperspectral image (HR-HSI); however, existing methods often involve complex feature extraction and optimization steps,
Hong Lin +5 more
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Fusing Hyperspectral and Multispectral Images via Low-Rank Hankel Tensor Representation
Remote Sensing, 2022 Hyperspectral images (HSIs) have high spectral resolution and low spatial resolution. HSI super-resolution (SR) can enhance the spatial information of the scene.
Siyu Guo +5 more
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Geocarto InternationalDespite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task.
Lijing Bu +3 more
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WHU-OHS: A benchmark dataset for large-scale Hersepctral Image classification
International Journal of Applied Earth Observations and Geoinformation, 2022 Hyperspectral image (HSI) classification is one of the most important remote sensing techniques. Currently, the performances of most of the HSI classification networks on the public HSI datasets are overoptimistic (i.e., the overall accuracy exceeds 98 %)
Jiayi Li, Xin Huang, Lilin Tu
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Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
, 2018 In many computer vision applications, obtaining images of high resolution in both the spatial and spectral domains are equally important. However, due to hardware limitations, one can only expect to acquire images of high resolution in either the spatial
Kwan, Chiman, Qi, Hairong, Qu, Ying
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Geodatabase Development to Support Hyperspectral Imagery Exploitation [PDF]
, 2010 Geodatabase development for coastal studies conducted by the Naval Research Laboratory (NRL) is essential to support the exploitation of hyperspectral imagery (HSI).
Bachmann, Charles M +11 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Coastal wetlands mapping is a big challenge in remote sensing fields because of similar spectrum of different ground objects and their severe fragmentation and spatial heterogeneity.
Kai Liu +8 more
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Programmable Spectrometry -- Per-pixel Classification of Materials using Learned Spectral Filters
, 2019 Many materials have distinct spectral profiles. This facilitates estimation of the material composition of a scene at each pixel by first acquiring its hyperspectral image, and subsequently filtering it using a bank of spectral profiles.
Sankaranarayanan, Aswin C. +1 more
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Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition
, 2017 Hyperspectral images (HSIs) are often corrupted by a mixture of several types of noise during the acquisition process, e.g., Gaussian noise, impulse noise, dead lines, stripes, and many others. Such complex noise could degrade the quality of the acquired
Leung, Yee +5 more
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Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related [PDF]
, 2015 This paper considers a recently emerged hyperspectral unmixing formulation based on sparse regression of a self-dictionary multiple measurement vector (SD-MMV) model, wherein the measured hyperspectral pixels are used as the dictionary.
Bioucas-Dias, José M. +3 more
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