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

Remote Sensing Image Classification: No Features, No Clustering

Cui, Shiyong and Schwarz, Gottfried and Datcu, Mihai (2015) Remote Sensing Image Classification: No Features, No Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8 (11), pp. 5158-5170. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2015.2495267 ISSN 1939-1404

[img] PDF

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7331241


In this paper, we consider the problem of remote sensing image classification, in which feature extraction and feature coding are critical steps. Various feature extraction methods aim at an abstract and discriminative image representation. Most of them are either theoretically too complex or practically infeasible to compute for large datasets. Motivated by this observation, we propose a simple yet efficient feature extraction method within the Bag-of-Words (BoW) framework. It has two main innovations. Firstly and most interestingly, this method does not need any complex local feature extraction; instead, it uses directly the pixel values from a local window as low level features. Secondly, in contrast to many unsupervised feature learning methods, a random dictionary is applied to feature space quantization. The advantage of a random dictionary is that it does not need the time-consuming process of dictionary learning yet without a significant loss of classification accuracy. These two novel improvements over state-of-the-art methods significantly reduce the computational time and enable it scalable to a large data volume. An extensive experimental evaluation has been performed and compared with other feature extraction methods. It is demonstrated that our feature extraction method is quite competitive and can achieve rather promising performance figures for both optical and SAR satellite images.

Item URL in elib:https://elib.dlr.de/98672/
Document Type:Article
Title:Remote Sensing Image Classification: No Features, No Clustering
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cui, ShiyongRemote Sensing Technology Institute (IMF)UNSPECIFIED
Schwarz, Gottfriedgottfried.schwarz (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:16 October 2015
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/JSTARS.2015.2495267
Page Range:pp. 5158-5170
Chanussot, Jocelynjocelyn.chanussot@gipsa-lab.grenoble-inp.fr
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Bag-of-words (BoW), Dictionary learning, Feature extraction, Image classification, Unsupervised feature learning.
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: Cui, Shiyong
Deposited On:16 Oct 2015 13:23
Last Modified:31 Jul 2019 19:55

Repository Staff Only: item control page

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