Results 31 to 40 of about 153,077 (360)

HYPERSPECTRAL PANORAMIC IMAGING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Abstract. Hyperspectral instruments are designed for the characterisation of planetary surfaces, oceans and the atmosphere. At the moment there are a number of aircraft systems and planned space missions. Examples for this are the hyperspectral missions for Earth remote sensing (EnMAP) and also for deep space and planetary missions (Mercury mission ...
Müller-Rowold, Malte, Reulke, Ralf
openaire   +3 more sources

Implementation strategies for hyperspectral unmixing using Bayesian source separation. [PDF]

, 2010
Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ensured, such in remote sensing. Moreover, it is sensible to impose a sum-to-one (full
Moussaoui, Saïd, Schmidt, Albrecht, Tréguier, Erwan, Maël Guiheneuf, Guiheneuf, Maël, Saïd Moussaoui, Erwan Treguier, Albrecht Schmidt, Nicolas Dobigeon, Dobigeon, Nicolas, Frédéric Schmidt, Schmidt, Frédéric   +11 more
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The Future of Hyperspectral Imaging [PDF]

Journal of Imaging, 2019
The Special Issue on hyperspectral imaging (HSI), entitled “The Future of Hyperspectral Imaging”, has published 12 papers. Nine papers are related to specific current research and three more are review contributions: In both cases, the request is to propose those methods or instruments so as to show the future trends of HSI.
openaire   +6 more sources

Hyperspectral imagery superresolution [PDF]

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
Despite their high spectral resolution, hyperspectral images have low spatial resolution which adversely affects the applications that use hyperspectral images. In this study, instead of the traditional way of using spectral images, abundances of the endmembers are used in resolution enhancement.
Hasan Irmak, Gozde Bozdagi Akar, Seniha Esen Yüksel   +2 more
openaire   +1 more source

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence
Accurate hyperspectral image (HSI) interpretation is critical for providing valuable insights into various earth observation-related applications such as urban planning, precision agriculture, and environmental monitoring.
Di Wang, Meiqi Hu, Yao Jin, Yuchun Miao, Jiaqi Yang, Yichu Xu, Xiaolei Qin, Jiaqi Ma, Lingyu Sun, Chenxing Li, C. Fu, Hongruixuan Chen, Chengxi Han, Naoto Yokoya, Jing Zhang, Minqiang Xu, Lin Liu, Lefei Zhang, Chen wu, Bo Du, Dacheng Tao, Liang-Ying Zhang   +21 more
semanticscholar   +1 more source

Spatial-Spectral Transformer for Hyperspectral Image Classification

Remote Sensing, 2021
Recently, a great many deep convolutional neural network (CNN)-based methods have been proposed for hyperspectral image (HSI) classification. Although the proposed CNN-based methods have the advantages of spatial feature extraction, they are difficult to
Xin He, Yushi Chen, Zhouhan Lin
semanticscholar   +1 more source

Fuzzy spectral and spatial feature integration for classification of nonferrous materials in hyperspectral data [PDF]

, 2009
Hyperspectral data allows the construction of more elaborate models to sample the properties of the nonferrous materials than the standard RGB color representation.
Iriondo, Pedro M., Ghita, Ovidiu, Whelan, PF, Picon, Artzai, Whelan, Paul F.   +4 more
core   +1 more source

Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

Current Research in Food Science, 2021
Non-destructive testing techniques have gained importance in monitoring food quality over the years. Hyperspectral imaging is one of the important non-destructive quality testing techniques which provides both spatial and spectral information ...
D. Saha, A. Manickavasagan
semanticscholar   +1 more source

Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox [PDF]

IEEE Geoscience and Remote Sensing Magazine, 2020
Hyperspectral images (HSIs) provide detailed spectral information through hundreds of (narrow) spectral channels (also known as dimensionality or bands), which can be used to accurately classify diverse materials of interest. The increased dimensionality
Behnood Rasti, D. Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, J. Chanussot, J. Benediktsson   +6 more
semanticscholar   +1 more source

Wavelet based segmentation of hyperspectral colon tissue imagery [PDF]

, 2003
Segmentation is an early stage for the automated classification of tissue cells between normal and malignant types. We present an algorithm for unsupervised segmentation of images of hyperspectral human colon tissue cells into their constituent parts by ...
Rajpoot, Nasir M. (Nasir Mahmood), Rajpoot, Kashif   +1 more
core   +1 more source