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- research-articleMarch 2024
Dense Network-Based Spectral-Polarization Image Fusion: Multispectral Data Enhancement via Encoder-Decoder Approach
ICITEE '23: Proceedings of the 6th International Conference on Information Technologies and Electrical EngineeringPages 441–446https://doi.org/10.1145/3640115.3640187Images are obtained by perceiving the sunlight reflected by objects or scenes, and due to limited solar irradiance, spatial resolution certainly decreases. In contrast, multispectral sensors hold the spatial information of ground objects even though the ...
- research-articleMay 2021
Deep Learning Method for Spectral Classification
ICAIP '20: Proceedings of the 4th International Conference on Advances in Image ProcessingPages 61–65https://doi.org/10.1145/3441250.3441268Spectral images contain both spatial information and spectral information. The resolution of spectral information is very high, generally reaching nanometer level, but the spatial resolution is relatively low. Spectral image classification is a pixel ...
- research-articleJanuary 2020
Convolutional sparse coding framework for compressive spectral imaging
Journal of Visual Communication and Image Representation (JVCIR), Volume 66, Issue Chttps://doi.org/10.1016/j.jvcir.2019.102690AbstractSpectral images (SI) can be represented as 3D-arrays of spatial information across multiple wavelengths. Compressive Spectral Imaging (CSI) reduces sensing costs by sensing compressed versions of the scene, recovering a suitable ...
- ArticleApril 2000
A Spectral-Imaging System and Algorithms for Recovering Spectral Functions
SSIAI '00: Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and InterpretationPage 278Knowledge of such spectral functions as the surface-spectral reflectances of objects and the illuminant spectral-power distribution is needed for realizing color constancy, accurate color reproduction, and rendering realistic images. This paper ...
