Results 31 to 40 of about 107,679 (337)

MEETNet: Morphology-Edge Enhanced Triple-Cascaded Network for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection is focused on accurately identifying tiny targets with low signal-to-noise ratio against complex backgrounds, representing a critical challenge in the field of infrared image processing. Existing approaches frequently fail
Enyu Zhao, Yu Shi, Nianxin Qu, Yulei Wang, Hang Zhao   +4 more
doaj   +1 more source

Unmixing of Hyperspectral Data Using Robust Statistics-based NMF

, 2012
Mixed pixels are presented in hyperspectral images due to low spatial resolution of hyperspectral sensors. Spectral unmixing decomposes mixed pixels spectra into endmembers spectra and abundance fractions.
Ghassemian, Hassan, Rajabi, Roozbeh
core   +1 more source

Self- and Cross-Attention Enhanced Transformer for Visible and Thermal Infrared Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Visible hyperspectral image (V-HSI) and thermal infrared hyperspectral image (TI-HSI) have been crucial data sources for land cover classification. V-HSI can directly provide information of land surface, such as shape, color, texture, and other features.
Enyu Zhao, Yongfang Su, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +5 more
doaj   +1 more source

Compressive Hyperspectral Imaging Using Progressive Total Variation [PDF]

, 2014
Compressed Sensing (CS) is suitable for remote acquisition of hyperspectral images for earth observation, since it could exploit the strong spatial and spectral correlations, llowing to simplify the architecture of the onboard sensors. Solutions proposed
Barducci, Alessandro, Barni, Mauro, Coluccia, Giulio, Kuiteing, Simeon Kamdem, Magli, Enrico   +4 more
core   +2 more sources

TEBS: Temperature–Emissivity–Driven band selection for thermal infrared hyperspectral image classification with structured State-Space model and gated attention

International Journal of Applied Earth Observations and Geoinformation
Thermal infrared hyperspectral images (TIR-HSIs) provide unique spectral insights that are often unattainable with visible imagery, making them invaluable for applications such as land cover classification and geological mapping.
Enyu Zhao, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +4 more
doaj   +1 more source

Hyperspectral estimation of chlorophyll content in jujube leaves: integration of derivative processing techniques and dimensionality reduction algorithms

Frontiers in Plant Science, 2023
The leaf chlorophyll content (LCC) of vegetation is closely related to photosynthetic efficiency and biological activity. Jujube (Ziziphus jujuba Mill.) is a traditional economic forest tree species.
Nigela Tuerxun, Nigela Tuerxun, Jianghua Zheng, Jianghua Zheng, Renjun Wang, Renjun Wang, Lei Wang, Liang Liu, Liang Liu   +8 more
doaj   +1 more source

Hyperspectral Calibration of Art: Acquisition and Calibration Workflows [PDF]

, 2019
Hyperspectral imaging has become an increasingly used tool in the analysis of works of art. However, the quality of the acquired data and the processing of that data to produce accurate and reproducible spectral image cubes can be a challenge to many ...
George, Sony, Hardeberg, Jon Y, Pillay, Ruven   +2 more
core   +2 more sources

Hyperspectral pan-sharpening: a variational convex constrained formulation to impose parallel level lines, solved with ADMM

, 2014
In this paper, we address the issue of hyperspectral pan-sharpening, which consists in fusing a (low spatial resolution) hyperspectral image HX and a (high spatial resolution) panchromatic image P to obtain a high spatial resolution hyperspectral image ...
de Vieilleville, François, Grizonnet, Manuel, Huck, Alexis, Weiss, Pierre   +3 more
core   +1 more source

Robust Linear Spectral Unmixing using Anomaly Detection

, 2015
This paper presents a Bayesian algorithm for linear spectral unmixing of hyperspectral images that accounts for anomalies present in the data. The model proposed assumes that the pixel reflectances are linear mixtures of unknown endmembers, corrupted by ...
Altmann, Yoann, Hero, Alfred, McLaughlin, Steve   +2 more
core   +1 more source

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery [PDF]

, 2009
This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Alfred O. Hero, Jean-yves Tourneret, Martial Coulon, Nicolas Dobigeon, Saïd Moussaoui, Senior Member   +5 more
core   +9 more sources