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Autoren:
Zhang, Wenkai; Huang, Hai; Schmitz, Matthias; Sun, Xian; Wang, Hongqi; Mayer, Helmut 
Beteiligte Personen:
Heipke, Christian; Jacobsen, Karsten; Stilla, Uwe; Rottensteiner, Franz; Yilmaz, Alper; Ying Yang, Michael; Skaloud, Jan; Colomina, Ismael 
Dokumenttyp:
Konferenzbeitrag / Conference Paper 
Titel:
A Multi-Resolution Fusion Model Incorporating Color and Elevation for Semantic Segmentation 
Herausgeber Sammlung:
International Society for Photogrammetry and Remote Sensing (ISPRS) 
Titel Konferenzpublikation:
ISPRS Hannover Workshop: HRIGI 17 - CMRT 17 - ISA 17 - EuroCOW 17, 6-9 June 2017, Hannover, Germany 
Zeitschrift:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 
Heftnummer:
XLII-1/W1 
Konferenztitel:
International Society for Photogrammetry and Remote Sensing Workshop (14., 2017, Hannover); European Calibration and Orientation Workshop (2017, Hannover) 
Tagungsort:
Hannover 
Jahr der Konferenz:
2017 
Datum Beginn der Konferenz:
06.06.2017 
Datum Ende der Konferenz:
09.06.2017 
Verlegende Institution:
International Society for Photogrammetry and Remote Sensing 
Jahr:
2017 
Seiten von - bis:
513-517 
Sprache:
Englisch 
Stichwörter:
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 
Fakultät:
Fakultät für Informatik 
Institut:
INF 4 - Institut für Angewandte Informatik 
Professur:
Mayer, Helmut 
Open Access ja oder nein?:
Ja / Yes 
Art der OA-Lizenz:
CC BY 3.0 Unported (https://creativecommons.org/licenses/by/3.0/)