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Feature Extraction for Patch-Based Classification of Multispectral Earth Observation Images

Georgescu, Florin-Andrei and Vaduva, Corina and Raducanu, Dan and Datcu, Mihai (2016) Feature Extraction for Patch-Based Classification of Multispectral Earth Observation Images. IEEE Geoscience and Remote Sensing Letters, 13 (6), pp. 865-869. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2016.2551359 ISSN 1545-598X

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Official URL: http://ieeexplore.ieee.org/document/7458845/


Recently, various patch-based approaches have emerged for high and very high resolution multispectral image classification and indexing. This comes as a consequence of the most important particularity of multispectral data: objects are represented using several spectral bands that equally influence the classification process. In this letter, by using a patch-based approach, we are aiming at extracting descriptors that capture both spectral information and structural information. Using both the raw texture data and the high spectral resolution provided by the latest sensors, we propose enhanced image descriptors based on Gabor, spectral histograms, spectral indices, and bag-of-words framework. This approach leads to a scene classification that outperforms the results obtained when employing the initial image features. Experimental results on a WorldView-2 scene and also on a test collection of tiles created using Sentinel 2 data are presented. A detailed assessment of speed and precision was provided in comparison with state-of-the-art techniques. The broad applicability is guaranteed as the performances obtained for the two selected data sets are comparable, facilitating the exploration of previous and newly lunched satellite missions.

Item URL in elib:https://elib.dlr.de/105946/
Document Type:Article
Title:Feature Extraction for Patch-Based Classification of Multispectral Earth Observation Images
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Georgescu, Florin-AndreiMilitary Technical Academy, RomaniaUNSPECIFIED
Vaduva, CorinaPolitehnica University of Bucharest, RomaniaUNSPECIFIED
Raducanu, DanMilitary Technical Academy, Bucharest, RomaniaUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:June 2016
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/LGRS.2016.2551359
Page Range:pp. 865-869
Frery, AlejandroUniversidade Federal de Alagoas
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Spectral features, Bag-of-words (BoW), feature extraction, Gabor filters, image classification
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 > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:05 Sep 2016 10:44
Last Modified:31 Jul 2019 20:03

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