Results 31 to 40 of about 6,602 (196)

On the use of overcomplete dictionaries for spectral unmixing [PDF]

2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2012
Hyperspectral unmixing is a sub pixel classification method which aims at recovering fraction and type of materials mixed in a single pixel. This work addresses the unmixing problem from the compressive sensing point of view by using overcomplete dictionaries enabling automatization of the process.
Bieniarz, Jakub, Müller, Rupert, Zhu, Xiaoxiang, Reinartz, Peter   +3 more
openaire   +1 more source

SSANet: An Adaptive Spectral–Spatial Attention Autoencoder Network for Hyperspectral Unmixing

Remote Sensing, 2023
Convolutional neural-network-based autoencoders, which can integrate the spatial correlation between pixels well, have been broadly used for hyperspectral unmixing and obtained excellent performance.
Jie Wang, Jindong Xu, Qianpeng Chong, Zhaowei Liu, Weiqing Yan, Haihua Xing, Qianguo Xing, Mengying Ni   +7 more
doaj   +1 more source

Spectral Unmixing of Multispectral Lidar Signals

IEEE Transactions on Signal Processing, 2015
In this paper, we present a Bayesian approach for spectral unmixing of multispectral Lidar (MSL) data associated with surface reflection from targeted surfaces composed of several known materials. The problem addressed is the estimation of the positions and area distribution of each material.
Yoann Altmann, Andrew M. Wallace, Steve McLaughlin 0001   +2 more
openaire   +2 more sources

A cascaded autoencoder unmixing network for Hyperspectral anomaly detection

International Journal of Applied Earth Observations and Geoinformation
Hyperspectral anomaly detection (HAD) is challenging especially when anomalies are presented in sub-pixel form.The spectral signatures of anomalies in mixed pixels are mixed with those of background, making anomalies difficult to be distinguished from ...
Kun Li, Yingqian Wang, Qiang Ling, Yaoming Cai, Yao Qin   +4 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

Spectral Unmixing via Data-Guided Sparsity [PDF]

IEEE Transactions on Image Processing, 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. From an unsupervised learning perspective, this problem is very challenging---both the spectral bases and their composite ...
Feiyun Zhu, Ying Wang 0008, Bin Fan 0001, Shiming Xiang, Gaofeng Meng, Chunhong Pan   +5 more
openaire   +3 more sources

Hyperspectral Unmixing via Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning

Remote Sensing, 2018
Spectral unmixing is a popular technique for hyperspectral data interpretation. It focuses on estimating the abundance of pure spectral signature (called as endmembers) in each observed image signature.
Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng, Licheng Jiao, Huiyu Zhou   +6 more
doaj   +1 more source

Montmorillonite Estimation in Clay–Quartz–Calcite Samples from Laboratory SWIR Imaging Spectroscopy: A Comparative Study of Spectral Preprocessings and Unmixing Methods

Remote Sensing, 2020
Clay minerals play an important role in shrinking–swelling of soils and off–road vehicle mobility mainly due to the presence of smectites including montmorillonites.
Etienne Ducasse, Karine Adeline, Xavier Briottet, Audrey Hohmann, Anne Bourguignon, Gilles Grandjean   +5 more
doaj   +1 more source

Spectral unmixing: analysis of performance in the olfactory bulb in vivo. [PDF]

PLoS ONE, 2009
BACKGROUND: The generation of transgenic mice expressing combinations of fluorescent proteins has greatly aided the reporting of activity and identification of specific neuronal populations. Methods capable of separating multiple overlapping fluorescence
Mathieu Ducros, Laurent Moreaux, Jonathan Bradley, Pascale Tiret, Oliver Griesbeck, Serge Charpak   +5 more
doaj   +1 more source

Spectral-Spatial Constrained Nonnegative Matrix Factorization for Spectral Mixture Analysis of Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Hyperspectral spectral mixture analysis (SMA), which intends to decompose mixed pixels into a collection of endmembers weighted by their corresponding fraction abundances, has been successfully used to tackle mixed-pixel problem in hyperspectral remote ...
Ge Zhang, Shaohui Mei, Yan Feng, Qian Du
doaj   +1 more source