Results 81 to 90 of about 9,243 (189)

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

Compact Spectral Imaging: A Review of Miniaturized and Integrated Systems

Laser &Photonics Reviews, Volume 19, Issue 21, November 6, 2025.
This review explores the rapid shift toward compact spectral imaging systems by examining four key design paradigms: Do‐It‐Yourself (DIY) platforms, freeform optics, filter‐on‐chip integration, and multifunctional metasurfaces. The discussion highlights critical applications in medicine, agriculture, and environmental monitoring, providing comparative ...
Sani Mukhtar, Amir Arbabi, Jaime Viegas
wiley   +1 more source

Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation

, 2016
The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and ...
Zare, Alina, Zou, Sheng
core   +1 more source

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

Digital Mapping of Soil Vanadium Across Australia

European Journal of Soil Science, Volume 76, Issue 6, November–December 2025.
ABSTRACT Vanadium (V) is increasingly recognised as a critical mineral due to its potential for decarbonisation technologies. Australia holds an estimated quarter of global V resources, yet there is limited knowledge of how these resources are distributed across the country.
Marliana Tri Widyastuti, Budiman Minasny, Wartini Ng, Patrice de Caritat, José Padarian, Alex McBratney   +5 more
wiley   +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

Antum Crater: A Window Into Ganymede's Icy Evolution

Journal of Geophysical Research: Planets, Volume 130, Issue 10, October 2025.
Abstract Located within the extensive dark terrain of Marius Regio, in the anti‐Jovian trailing quadrant of Ganymede, Antum crater is marked by dark‐rayed ejecta that obscure older features and reshape the surrounding landscape. This study investigates Antum and its geological context using optical and infrared data from the Voyager and Galileo ...
Federico Tosi, Federico Colaiuta, Valentina Galluzzi, Elena Martellato, Francesca Zambon, Katrin Stephan, Namitha R. Baby, Lorenzo Bruzzone, Pasquale Palumbo, Giuseppe Piccioni   +9 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

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