Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

TU4.R1.2

FULLY AUTOMATIC GENERATION OF TRAINING DATA FOR BUILDING DETECTION AND CLASSIFICATION FROM REMOTE SENSING IMAGERY

Yixuan Wang, Technical University of Munich, Germany; Hai Huang, Coleen Cabalo, Universität der Bundeswehr München, Germany; Marco Körner, Technical University of Munich, Germany; Helmut Mayer, Universität der Bundeswehr München, Germany

Session:

TU4.R1: Semi and Self-segmentations for Object Detection and Identification Oral

Location:

Room B

Presentation Time:

Tue, 18 Jul, 15:57 - 16:09 Pacific Time (UTC -8)

Session Chair:

Minh-Tan Pham, Institut de recherche en informatique et systèmes aléatoires (IRISA), Université Bretagne Sud

Session Manager:

John Kunkee

Session TU4.R1

TU4.R1.1: WEAKLY SUPERVISED MARINE ANIMAL DETECTION FROM REMOTE SENSING IMAGES USING VECTOR-QUANTIZED VARIATIONAL AUTOENCODER

Minh-Tan Pham, Institut de recherche en informatique et systèmes aléatoires (IRISA), Université Bretagne Sud, France; Hugo Gangloff, Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), AgroParisTech, France; Sébastien Lefèvre, Institut de recherche en informatique et systèmes aléatoires (IRISA), Université Bretagne Sud, France

TU4.R1.2: FULLY AUTOMATIC GENERATION OF TRAINING DATA FOR BUILDING DETECTION AND CLASSIFICATION FROM REMOTE SENSING IMAGERY

TU4.R1.3: ADVANCING MASKED IMAGE MODELING BASED SELF-SUPERVISED PRETRAINING FOR REMOTE SENSING OBJECT DETECTION

Tong Zhang, Yin Zhuang, Guanqun Wang, Yuqing Liu, He Chen, Liang Chen, Beijing Institute of Technology, China

TU4.R1.4: Semi-Supervised Object Detection in Remote Sensing Images Based on Active Learning

Yuhao Wang, Beihang University, China; Lifan Yao, Qingdao Research Institute of Beihang University, China; Gang Meng, Beijing Institute of Remote Sensing Information, China; Xinye Zhang, Jiayun Song, Qingdao Research Institute of Beihang University, China; Haopeng Zhang, Beihang University, China

TU4.R1.5: WEAKLY SUPERVISED SEMANTIC SEGMENTATION FOR HAZY REMOTE SENSING IMAGES BASED ON SALIENCY-AWARE ALIGNMENT STRATEGY

Junda Xu, Ting Hao, Libao Zhang, Beijing Normal University, China