Results 81 to 90 of about 9,466 (207)

Fast Unmixing of Noisy Hyperspectral Images Based on Vertex Component Analysis and Singular Spectrum Analysis Algorithms

Canadian Journal of Remote Sensing, 2020
Efficient denoising is of great significance to unmixing hyperspectral images. In the present study, a fast unmixing method for noisy hyperspectral images based on the combination of vertex component analysis and singular spectrum analysis is proposed ...
Dongmei Song, Ning Sun, Mingming Xu, Bin Wang, Ling Zhang   +4 more
doaj   +1 more source

Spectral Unmixing with Multiple Dictionaries

, 2017
Spectral unmixing aims at recovering the spectral signatures of materials, called endmembers, mixed in a hyperspectral or multispectral image, along with their abundances.
Cohen, Jeremy E., Gillis, Nicolas
core   +2 more sources

Deep Spectral Convolution Network for Hyperspectral Unmixing [PDF]

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
In this paper, we propose a novel hyperspectral unmixing technique based on deep spectral convolution networks (DSCN). Particularly, three important contributions are presented throughout this paper. First, fully-connected linear operation is replaced with spectral convolutions to extract local spectral characteristics from hyperspectral signatures ...
Ozkan, Savas, Akar, Gozde Bozdagi
openaire   +2 more sources

Skin Tone in Hyperspectral Imaging and Its Implications for Fairness in AI

Journal of Biophotonics, Volume 19, Issue 4, April 2026.
This study investigates whether skin tone is systematically encoded in hyperspectral imaging (HSI) data and how this influences AI‐based classification. The results show differences in classification performance across skin tones when using both unsupervised and supervised learning methods, indicating the presence of potential bias. ABSTRACT Artificial
Laurie S. van de Weerd, Nick J. van de Berg, L. Lucia Rijstenberg, Ralf L. O. van de Laar, Helena C. van Doorn, Heleen J. van Beekhuizen   +5 more
wiley   +1 more source

Spectral Unmixing via Data-guided Sparsity

, 2014
Hyperspectral unmixing, the process of estimating a common set of spectral bases and their corresponding composite percentages at each pixel, is an important task for hyperspectral analysis, visualization and understanding.
Fan, Bin, Meng, Gaofeng, Pan, Chunhong, Wang, Ying, Xiang, Shiming, Zhu, Feiyun   +5 more
core   +1 more source

Blind Hyperspectral Unmixing Using Autoencoders

, 2023
Efni þessarar ritgerðar er aðgreining fjölrásamynda (e. blind hyperspectral unmixing) með sjálfkóðurum (e. autoencoders) byggðum á djúpum lærdómi (e. deep learning). Tvær aðferðir byggðar á sjálfkóðurum eru kynntar og rannsakaðar. Báðar aðferðirnar leitast við að nýta sér rúmfræðilega fylgni rófa í fjölrásamyndum til að bæta árangur aðgreiningar.
openaire   +2 more sources

Lidar-Driven Spatial Regularization for Hyperspectral Unmixing [PDF]

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Only a few research works consider LiDAR data while conducting hyperspectral image unmixing. However, the digital surface model derived from LiDAR can provide meaningful information, in particular when spatially regularizing the inverse problem underlain by spectral unmixing.
Uezato, Tatsumi, Fauvel, Mathieu, Dobigeon, Nicolas   +2 more
openaire   +3 more sources

Spatial Structural Priors for Sparse Unmixing of Remotely Sensed Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
As spectral libraries continue to expand, sparse unmixing has become essential for effectively interpreting mixed pixels in remotely sensed hyperspectral data.
Shaoquan Zhang, Jiajun Zheng, Yuyang Liu, Fan Li, Chengzhi Deng, Antonio Plaza, Lianhui Liang, Zhi He, Shengqian Wang   +8 more
doaj   +1 more source

Deep multimodal unmixing of hyperspectral images using Convolutional Block Attention Module (CBAM) and LiDAR features

Egyptian Journal of Remote Sensing and Space Sciences
Hyperspectral image unmixing has garnered considerable attention across various application domains, particularly remote sensing applications. However, relying solely on one modality to distinguish objects with similar spectral information presents ...
M Sreejam, L Agilandeeswari
doaj   +1 more source

Shortwave Infrared Microimaging Spectroscopy of the Martian Meteorites

Journal of Geophysical Research: Planets, Volume 131, Issue 3, March 2026.
Abstract Until samples from the Martian surface are successfully brought to Earth, meteorites represent the only opportunity to perform laboratory analyses on Martian material. Microimaging spectroscopy of the Martian meteorite suite provides a valuable means to better understand infrared data collected remotely from the Martian surface. This rapid and
J. K. Miura, B. L. Ehlmann, R. Greenberger, E. Cutts   +3 more
wiley   +1 more source