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Feature importance analysis of Sentinel-2 imagery for large-scale Urban Local Climate Zone classification

Qiu, Chunping and Schmitt, Michael and Ghamisi, Pedram and Mou, Lichao and Zhu, Xiao Xiang (2018) Feature importance analysis of Sentinel-2 imagery for large-scale Urban Local Climate Zone classification. In: 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 1-4. IGARSS 2018, 22.-27. Juli 2018, Valencia, Spanien. DOI: 10.1109/IGARSS.2018.8517732

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Official URL: https://ieeexplore.ieee.org/abstract/document/8517732

Abstract

This paper evaluates different spectral-spatial features that can be extracted from Sentinel-2 imagery regarding their relevance for discriminating different Local Climate Zone (LCZ) classes. The features include spectral reflectance, spectral indices, Morphological Profiles (MPs), as well as Global Urban Footprint (GUF), the Open Street Map layers buildings and land use, and their combinations. Using a residual convolutional neural network (ResNet), a systematic analysis of feature importance is performed with a manually generated dataset distributed in Europe. The results of this evaluation are meant to provide guidance about the choice of both spectral and spatial features for the task of LCZ classifi- cation on a global scale. The results show that GUF and OSM can contribute to the classification performance, and ResNet relies less on additional features with the highest accuracy provided by the reflectance only.

Item URL in elib:https://elib.dlr.de/120083/
Document Type:Conference or Workshop Item (Speech)
Title:Feature importance analysis of Sentinel-2 imagery for large-scale Urban Local Climate Zone classification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Qiu, Chunpingtu münchenUNSPECIFIED
Schmitt, Michaelm.schmitt (at) tum.deUNSPECIFIED
Ghamisi, PedramDLR-IMF/TUM-LMFUNSPECIFIED
Mou, Lichaolichao.mou (at) dlr.deUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:July 2018
Journal or Publication Title:2018 IEEE International Geoscience and Remote Sensing Symposium
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2018.8517732
Page Range:pp. 1-4
Status:Published
Keywords:Feature analysis, Sentinel-2, Urban Local Climate Zone, LCZ Classification
Event Title:IGARSS 2018
Event Location:Valencia, Spanien
Event Type:international Conference
Event Dates:22.-27. Juli 2018
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Hoffmann, Eike Jens
Deposited On:29 May 2018 10:15
Last Modified:31 Jul 2019 20:17

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