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
Abstract
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/ | ||||||||||||
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Document Type: | Conference or Workshop Item (Other) | ||||||||||||
Title: | Feature investigation for large scale urban detection using landsat imagery | ||||||||||||
Authors: |
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Date: | 10 February 2018 | ||||||||||||
Refereed publication: | No | ||||||||||||
Open Access: | No | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | No | ||||||||||||
In ISI Web of Science: | No | ||||||||||||
Page Range: | pp. 1-6 | ||||||||||||
Publisher: | MDPI | ||||||||||||
Status: | Published | ||||||||||||
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 | ||||||||||||
Organizer: | MDPI | ||||||||||||
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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