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Authors:
Zhang, Wenkai; Huang, Hai; Schmitz, Matthias; Sun, Xian; Wang, Hongqi; Mayer, Helmut 
Contributors:
Heipke, Christian; Jacobsen, Karsten; Stilla, Uwe; Rottensteiner, Franz; Yilmaz, Alper; Ying Yang, Michael; Skaloud, Jan; Colomina, Ismael 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
A Multi-Resolution Fusion Model Incorporating Color and Elevation for Semantic Segmentation 
Collection editors:
International Society for Photogrammetry and Remote Sensing (ISPRS) 
Title of conference publication:
ISPRS Hannover Workshop: HRIGI 17 - CMRT 17 - ISA 17 - EuroCOW 17, 6-9 June 2017, Hannover, Germany 
Journal:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 
Issue:
XLII-1/W1 
Conference title:
International Society for Photogrammetry and Remote Sensing Workshop (14., 2017, Hannover); European Calibration and Orientation Workshop (2017, Hannover) 
Venue:
Hannover 
Year of conference:
2017 
Date of conference beginning:
06.06.2017 
Date of conference ending:
09.06.2017 
Publishing institution:
International Society for Photogrammetry and Remote Sensing 
Year:
2017 
Pages from - to:
513-517 
Language:
Englisch 
Keywords:
Semantic Segmentation ; Convolutional Networks ; Multi-modal Dataset ; Fusion Nets 
Abstract:
In recent years, the developments for Fully Convolutional Networks (FCN) have led to great improvements for semantic segmentation in various applications including fused remote sensing data. There is, however, a lack of an in-depth study inside FCN models which would lead to an understanding of the contribution of individual layers to specific classes and their sensitivity to different types of input data. In this paper, we address this problem and propose a fusion model incorporating infrared i...    »
 
ISSN:
1682-1777 ; 2194-9034 
Department:
Fakultät für Informatik 
Institute:
INF 4 - Institut für Angewandte Informatik 
Chair:
Mayer, Helmut 
Open Access yes or no?:
Ja / Yes 
Type of OA license:
CC BY 3.0 Unported (https://creativecommons.org/licenses/by/3.0/)