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Feature investigation for large scale urban detection using landsat imagery

Adam, Fathalrahman and Esch, Thomas and Datcu, Mihai (2018) Feature investigation for large scale urban detection using landsat imagery. MDPI. The 2nd international electronic conference on remote sensing, 22.03.-05.04.2018, Online.

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Official URL: http://sciforum.net/conference/ecrs-2


Many works dealing with the problem of urban detection in large scale have been published, but very little attention has been paid to the investigation of the features relative importance. Feature selection is known to be an NP-hard problem, with many heuristics suggested to approximate the solution. In this paper, a quick survey of the features used for large scale urban detection using Landsat data is presented, then the question of finding the best subset of features is investigated. Using Landsat scenes of five urban areas, all common features were extracted to represent the full feature set. Employing mutual information based ranking methods, Fisher score, SVM and Random Forest feature ranking, an importance score was assigned to each feature by each method. To aggregate the individual rankings of features, a two stage voting scheme was implemented to choose a subset of size $N$ as the most relevant features. To evaluate the chosen subset, a comparison to a baseline subset was performed. The classification power of the two subsets was tested using four classifiers in five urban regions. The results suggest better performance of the chosen subset compared to the baseline.

Item URL in elib:https://elib.dlr.de/119241/
Document Type:Conference or Workshop Item (Other)
Title:Feature investigation for large scale urban detection using landsat imagery
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Adam, FathalrahmanFathalrahman.Adam (at) dlr.deUNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:10 February 2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-6
Keywords:Feature selection, urban detection, large scale classification
Event Title:The 2nd international electronic conference on remote sensing
Event Location:Online
Event Type:international Conference
Event Dates:22.03.-05.04.2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Adam, Fathalrahman
Deposited On:28 May 2018 09:21
Last Modified:28 May 2018 09:21

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