elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

Ghamisi, Pedram and Yokoya, Naoto and Li, Jun and Liao, Wenzhi and Liu, Sicong and Plaza, Javier and Rasti, Behnood and Plaza, Antonio (2017) Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art. IEEE Geoscience and Remote Sensing Magazine (GRSM), 5 (4), pp. 37-78. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/MGRS.2017.2762087 ISSN 2168-6831

[img] PDF
9MB

Abstract

Recent advances in airborne and spaceborne hyperspectral imaging technology have provided end users with rich spectral, spatial, and temporal information. They have made a plethora of applications feasible for the analysis of large areas of the Earth’s surface. However, a significant number of factors - such as the high dimensions and size of the hyperspectral data, the lack of training samples, mixed pixels, light-scattering mechanisms in the acquisition process, and different atmospheric and geometric distortions - make such data inherently nonlinear and complex, which poses major challenges for existing methodologies to effectively process and analyze the data sets. Hence, rigorous and innovative methodologies are required for hyperspectral image (HSI) and signal processing and have become a center of attention for researchers worldwide. This article offers a comprehensive tutorial/overview focusing specifically on hyperspectral data analysis, which is categorized into seven broad topics: classification, spectral unmixing, dimensionality reduction (DR), resolution enhancement, HSI denoising and restoration, change detection (CD), and fast computing. For each topic, we provide a synopsis of the state-of-the-art approaches and numerical results for validating and evaluating different methodologies, followed by a discussion of future challenges and research directions.

Item URL in elib:https://elib.dlr.de/118583/
Document Type:Article
Title:Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ghamisi, PedramDLR-IMF/TUM-LMFUNSPECIFIED
Yokoya, NaotoThe University of TokyoUNSPECIFIED
Li, JunSun Yat-sen UniversityUNSPECIFIED
Liao, WenzhiWenzhi Liao Telecommunications and Information Processing, Ghent University, Ghent, BelgiumUNSPECIFIED
Liu, SicongTongji University, Shanghai, ChinaUNSPECIFIED
Plaza, JavierUniversity of ExtremaduraUNSPECIFIED
Rasti, BehnoodKeilir Institute of TechnologyUNSPECIFIED
Plaza, Antonioaplaza (at) unex.esUNSPECIFIED
Date:2017
Journal or Publication Title:IEEE Geoscience and Remote Sensing Magazine (GRSM)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:5
DOI :10.1109/MGRS.2017.2762087
Page Range:pp. 37-78
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Status:Published
Keywords:geophysical image processing;geophysical techniques;remote sensing;Earths surface;geometric distortions;hyperspectral image;light-scattering mechanisms;signal processing;Algorithm design and analysis;Data analysis;Data preprocessing;Feature extraction;Hyperspectral imaging;Image restoration;Signal processing;Spatial resolution;Tutorials; HySpex
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Ghamisi, Pedram
Deposited On:30 Jan 2018 09:07
Last Modified:06 Sep 2019 15:30

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.