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Urban Local Climate Zone Classification with a Residual Convolutional Neural Network and Multi-Seasonal Sentinel-2 images

Qiu, Chunping and Schmitt, Michael and Mou, LiChao and Zhu, Xiao Xiang (2018) Urban Local Climate Zone Classification with a Residual Convolutional Neural Network and Multi-Seasonal Sentinel-2 images. In: 10th IAPR Workshop on Pattern Recognition in Remote Sensing, pp. 1-5. IEEE Xplore. 10th IAPR Workshop on Pattern Recognition in Remote Sensing, 19.-20. Aug. 2018, Peking, China. DOI: 10.1109/PRRS.2018.8486155 ISSN 2377-0198

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Official URL: https://ieeexplore.ieee.org/document/8486155

Abstract

This study presents a classification framework for the urban Local Climate Zones (LCZs) based on a Residual Convolutional Neural Network (ResNet) architecture. In order to make full use of the temporal and spectral information contained in modern Earth observation data, multi-seasonal Sentinel-2 images are exploited. After training the ResNet, independent predictions are made from the multi-seasonal images. Subsequently, the seasonal predictions are fused in a decision fusion step based on majority voting. A systematical experiment is carried out in a large-scale study area located in the center of Europe. A significant accuracy improvement can be achieved by applying majority voting on multi-seasonal predictions. Based on the results, the main challenges and possible solutions of urban LCZ classification are further discussed, providing guidance for large-scale urban LCZ mapping.

Item URL in elib:https://elib.dlr.de/120077/
Document Type:Conference or Workshop Item (Speech)
Title:Urban Local Climate Zone Classification with a Residual Convolutional Neural Network and Multi-Seasonal Sentinel-2 images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Qiu, Chunpingtu münchenUNSPECIFIED
Schmitt, Michaelm.schmitt (at) tum.deUNSPECIFIED
Mou, LiChaoLiChao.Mou (at) dlr.deUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:2018
Journal or Publication Title:10th IAPR Workshop on Pattern Recognition in Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/PRRS.2018.8486155
Page Range:pp. 1-5
Publisher:IEEE Xplore
ISSN:2377-0198
Status:Published
Keywords:Urban Local Climate Zone, LCZ, Residual Convolutional Neural Network, CNN, R-CNN, Sentinel-2
Event Title:10th IAPR Workshop on Pattern Recognition in Remote Sensing
Event Location:Peking, China
Event Type:international Conference
Event Dates:19.-20. Aug. 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:23 Oct 2018 15:27
Last Modified:31 Jul 2019 20:17

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