Results 91 to 100 of about 77,969 (223)

A hierarchical unmanned aerial system–light detection and ranging–satellite learning framework for scaling heterogeneous vegetation cover mapping in rangelands

Grassland Research, Volume 5, Issue 3, Page 245-269, September 2026.
This study shows how drones, light detection and ranging (LiDAR), and satellites can be combined to map vegetation in rangelands more effectively. Drone imagery captures fine‐scale plant details, LiDAR adds information about vegetation structure and height, and satellite data allow the mapping approach to be expanded across larger areas.
Nishat Shermin, Narcisa G. Pricope, Padmanava Dash, Javier M. Osorio Leyton   +3 more
wiley   +1 more source

Joint Bayesian Hyperspectral Unmixing for change detection [PDF]

, 2020
Spectral unmixing allows to extract endmembers and estimate their proportions in hyperspectral data. Each observed pixel is considered to be a linear combination of several endmembers spectra.
L. Chaari, A. Benazza-Benyahia, Chaari, Lotfi, Gharbi, Walma, W. Gharbi, Benazza-Benyahia, Amel   +5 more
core   +1 more source

Efficient Progressive Mamba Model for Hyperspectral Sequence Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, deep learning-based hyperspectral unmixing has increasingly incorporated spatial information to improve performance. However, the extent of spatial information introduced involves a complex tradeoff: too little offers limited gains ...
Yang Liu, Shujun Liu, Huajun Wang
doaj   +1 more source

A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery

Remote Sensing, 2019
Limited to the low spatial resolution of the hyperspectral imaging sensor, mixed pixels are inevitable in hyperspectral images. Therefore, to obtain the endmembers and corresponding fractions in mixed pixels, hyperspectral unmixing becomes a hot spot in ...
Yang Shao, Jinhui Lan
doaj   +1 more source

Visible to Near‐Infrared Properties of Felsic Rocks: Plagioclase Detection Limits and Applications to Mars Orbital Spectra

Journal of Geophysical Research: Planets, Volume 131, Issue 9, September 2026.
Abstract Widespread plagioclase detections on Mars using orbital visible to near infrared (VNIR) reflectance spectra have led to multiple interpretations of “feldspathic” terrain, ranging from ancient crustal material and evolved plutons to volcanic lava flows.
Hunter Vannier, Briony H. N. Horgan, Michael Phillips, Michael Eddy, Rebecca Greenberger, Arya Udry   +5 more
wiley   +1 more source

Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spectral unmixing is a significant challenge in hyperspectral image processing. Existing unmixing methods utilize prior knowledge about the abundance distribution to solve the regularization optimization problem, where the difficulty lies in choosing ...
Li Wang, Xiaohua Zhang, Jinhua Zhang, Hua Dong, Hongyun Meng, Licheng Jiao   +5 more
doaj   +1 more source

Hyperspectral EELS Image Unmixing

, 2016
Electron Energy Loss Spectroscopy (EELS) performed in a Scanning Transmission Electron Microscope (STEM) provides hyperspectral images characterized by a large number of pixels and energy channels (typically 100 x 100 x 1000) [1].
Altmann, Yoann, Brun, Nathalie, Dobigeon, Nicolas, March, Katia, Moussaoui, Saïd, Schneegans, Olivier   +5 more
openaire   +2 more sources

Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing

, 2018
Hyperspectral unmixing aims at decomposing a hyperspectral image (HSI) into a number of constituted materials and associated proportions. Recently, nonnegative tensor factorization (NTF) based methods have been proved effective and natural for ...
Jingzhou Chen, Jun Zhou, Chen, Jingzhou, Zhou, Jun, Qian, Yuntao, Yuntao Qian, Xiong, Fengchao, Fengchao Xiong   +7 more
core   +1 more source

Spectral weighted sparse unmixing based on adaptive total variation and low-rank constraints

Scientific Reports
Hyperspectral sparse unmixing, an image processing technique, leverages a spectral library enriched with endmember spectral information as a prerequisite.
Chenguang Xu
doaj   +1 more source

CResDAE: A Deep Autoencoder with Attention Mechanism for Hyperspectral Unmixing

Remote Sensing
Hyperspectral unmixing aims to extract pure spectral signatures (endmembers) and estimate their corresponding abundance fractions from mixed pixels, enabling quantitative analysis of surface material composition.
Chong Zhao, Jinlin Wang, Qingqing Qiao, Kefa Zhou, Jiantao Bi, Qing Zhang, Wei Wang, Dong Li, Tao Liao, Chao Li, Heshun Qiu, Guangjun Qu   +11 more
doaj   +1 more source