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Extinction Profiles for the Classification of Remote Sensing Data

Ghamisi, Pedram and Souza, Roberto and Benediktsson, Jon Atli and Zhu, Xiao Xiang and Rittner, Leticia and Lotufo, Roberto (2016) Extinction Profiles for the Classification of Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing, 54 (10), pp. 5631-5645. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2016.2561842 ISSN 0196-2892

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7514921

Abstract

With respect to recent advances in remote sensing technologies, the spatial resolution of airborne and spaceborne sensors is getting finer, which enables us to precisely analyze even small objects on the Earth. This fact has made the research area of developing efficient approaches to extract spatial and contextual information highly active. Among the existing approaches, morphological and attribute profiles have gained great attention due to their ability to classify remote sensing data. This paper proposes a novel approach that makes it possible to precisely extract spatial and contextual information from remote sensing images. The proposed approach is based on extinction filters, which are used here for the first time in the remote sensing community. Then, the approach is carried out on two well-known high resolution panchromatic data sets captured over Rome, Italy, and Reykjavik, Iceland. In order to prove the capabilities of the proposed approach, the obtained results are compared with results from one of the strongest approaches in the literature, attribute profiles, using different points of view such as classification accuaracies, simplification rate, and complexity analysis. Results indicate that the proposed approach can significantly outperform its alternative in terms of classification accuracies. In addition, based on our implementation, profiles can be generated in a very short processing time. It should be noted that the proposed approach is fully automatic.

Item URL in elib:https://elib.dlr.de/103092/
Document Type:Article
Title:Extinction Profiles for the Classification of Remote Sensing Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ghamisi, PedramDLR-IMF/TUM-LMFUNSPECIFIED
Souza, RobertoSchool of Electrical and Computer Engineering - UNICAMP, BrazilUNSPECIFIED
Benediktsson, Jon AtliFaculty of Electrical and Computer Engineering, University of Iceland, 107 Reykjavik, IcelandUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Rittner, LeticiaSchool of Electrical and Computer Engineering - UNICAMP, BrazilUNSPECIFIED
Lotufo, RobertoSchool of Electrical and Computer Engineering - UNICAMP, BrazilUNSPECIFIED
Date:2016
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:54
DOI :10.1109/TGRS.2016.2561842
Page Range:pp. 5631-5645
Editors:
EditorsEmail
Plaza, Antonioaplaza@unex.es
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:Extinction profile, remote sensing data, image classification, random forests, attribute profile
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:04 May 2016 10:20
Last Modified:31 Jul 2019 20:00

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