Recent Advances in Multi- and Hyperspectral Image Analysis

Current advancements in sensor technology bring new possibilities in multi- and hyperspectral imaging. Real-life use cases which can benefit from such imagery span across various domains, including precision agriculture, chemistry, biology, medicine, land cover applications, management of natural re...

Full description

Bibliographic Details
Main Author:	Jakub Nalepa
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Series:	Sensors
Subjects:	hyperspectral image analysis multispectral image analysis image acquisition feature extraction dimensionality reduction classification
Online Access:	https://www.mdpi.com/1424-8220/21/18/6002

id	doaj-98da0990d93a4c1aa42261f3bbf2c0db
record_format	Article
spelling	doaj-98da0990d93a4c1aa42261f3bbf2c0db2021-09-26T01:21:34ZengMDPI AGSensors1424-82202021-09-01216002600210.3390/s21186002Recent Advances in Multi- and Hyperspectral Image AnalysisJakub Nalepa0Department of Algorithmics and Software, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandCurrent advancements in sensor technology bring new possibilities in multi- and hyperspectral imaging. Real-life use cases which can benefit from such imagery span across various domains, including precision agriculture, chemistry, biology, medicine, land cover applications, management of natural resources, detecting natural disasters, and more. To extract value from such highly dimensional data capturing up to hundreds of spectral bands in the electromagnetic spectrum, researchers have been developing a range of image processing and machine learning analysis pipelines to process these kind of data as efficiently as possible. To this end, multi- or hyperspectral analysis has bloomed and has become an exciting research area which can enable the faster adoption of this technology in practice, also when such algorithms are deployed in hardware-constrained and extreme execution environments; e.g., on-board imaging satellites.https://www.mdpi.com/1424-8220/21/18/6002hyperspectral image analysismultispectral image analysisimage acquisitionfeature extractiondimensionality reductionclassification
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Jakub Nalepa
spellingShingle	Jakub Nalepa Recent Advances in Multi- and Hyperspectral Image Analysis Sensors hyperspectral image analysis multispectral image analysis image acquisition feature extraction dimensionality reduction classification
author_facet	Jakub Nalepa
author_sort	Jakub Nalepa
title	Recent Advances in Multi- and Hyperspectral Image Analysis
title_short	Recent Advances in Multi- and Hyperspectral Image Analysis
title_full	Recent Advances in Multi- and Hyperspectral Image Analysis
title_fullStr	Recent Advances in Multi- and Hyperspectral Image Analysis
title_full_unstemmed	Recent Advances in Multi- and Hyperspectral Image Analysis
title_sort	recent advances in multi- and hyperspectral image analysis
publisher	MDPI AG
series	Sensors
issn	1424-8220
publishDate	2021-09-01
description	Current advancements in sensor technology bring new possibilities in multi- and hyperspectral imaging. Real-life use cases which can benefit from such imagery span across various domains, including precision agriculture, chemistry, biology, medicine, land cover applications, management of natural resources, detecting natural disasters, and more. To extract value from such highly dimensional data capturing up to hundreds of spectral bands in the electromagnetic spectrum, researchers have been developing a range of image processing and machine learning analysis pipelines to process these kind of data as efficiently as possible. To this end, multi- or hyperspectral analysis has bloomed and has become an exciting research area which can enable the faster adoption of this technology in practice, also when such algorithms are deployed in hardware-constrained and extreme execution environments; e.g., on-board imaging satellites.
topic	hyperspectral image analysis multispectral image analysis image acquisition feature extraction dimensionality reduction classification
url	https://www.mdpi.com/1424-8220/21/18/6002
work_keys_str_mv	AT jakubnalepa recentadvancesinmultiandhyperspectralimageanalysis
_version_	1716869087936643072

Recent Advances in Multi- and Hyperspectral Image Analysis

Similar Items