TUP.P6.4

A PERCEPTUAL METRIC PRIOR ON DEEP LATENT SPACE IMPROVES OUT-OF-DISTRIBUTION SYNTHETIC APERTURE SONAR IMAGE CLASSIFICATION

Isaac Gerg, Carl Cotner, Penn State University, United States
Session:
TUP.P6: Target Recognition in Remote Sensing Image III Poster
Track:
Data Analysis
Location:
Poster Area 6
Presentation Time:
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Afreen Siddiqi, MIT
Session Managers:
Ge Jiang and Lanying Wang and Ayoti Banerjee and Shubham Awasthi
Presentation
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Discussion
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Resources
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Session TUP.P6
TUP.P6.1: HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION TARGET DETECTION BASED ON CLOUD-EDGE COLLABORATION
Jun Hu, Nanjing University of Science and Technology, China; Shanshan Wu, Nanjing Research institute of electronics engineering (NRIEE), China; Zebin Wu, Yi Zhang, Nanjing University of Science and Technology, China; Javier Plaza, Antonio Plaza, University of Extremadura, Spain
TUP.P6.2: HYPERSPECTRAL TARGET DETECTION VIA CO-TEACHING MULTIPLE INSTANCE NEURAL NETWORK WITH DETERMINISTIC ANNEALING ALGORITHM
Lirong Liu, Changzhe Jiao, Jiaming Li, Xidian University, China; Chao Chen, IBM Research, United States
TUP.P6.3: A HYBRID PIPELINE FOR DATE PALM TREE DETECTION IN HIGH-RESOLUTION SATELLITE IMAGERY
Furat Aljishi, University of Oxford, United Kingdom; Abdulaziz Alharbi, King Abdulaziz City for Science and Technology (KACST), Saudi Arabia; Olivier de Weck, Massachusetts Institute of Technology (MIT), United States; Abdulelah Habib, King Abdulaziz City for Science and Technology (KACST), Saudi Arabia
TUP.P6.4: A PERCEPTUAL METRIC PRIOR ON DEEP LATENT SPACE IMPROVES OUT-OF-DISTRIBUTION SYNTHETIC APERTURE SONAR IMAGE CLASSIFICATION
Isaac Gerg, Carl Cotner, Penn State University, United States
TUP.P6.5: OBJECT COUNTING FROM AERIAL REMOTE SENSING IMAGES: APPLICATION TO WILDLIFE AND MARINE MAMMALS
Tanya Singh, 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; Minh-Tan Pham, Institut de recherche en informatique et systèmes aléatoires (IRISA), Université Bretagne Sud, France
TUP.P6.6: MAPPING SLUMS FROM SATELLITE IMAGERY USING DEEP LEARNING
Anjali Raj, Shubham Agrawal, Adway Mitra, Manjira Sinha, Indian Institute of Technology Kharagpur, India
TUP.P6.7: ADAPTIVE DETECTION IN NONZERO-MEAN COMPOUND GAUSSIAN SEA CLUTTER WITH INVERSE GAMMA TEXTURE
Haoqi Wu, Luxin Dong, Zhihang Wang, Zishu He, University of Electronic Science and Technology of China, China; Xuan He, The Second Research Institute of Civil Aviation Administration of China, China
TUP.P6.8: SIZE ESTIMATION OF ANT NESTS IN INDUSTRIAL FOREST BY P-BAND SAR TOMOGRAPHY
Gian Carlos Oré Huacles, UNICAMP, Brazil; Alexandre Santos, Federal Institute of Mato Grosso, IFMT, Brazil; Daniele Ukan, UNICENTRO, Brazil; Ronald Zanetti, UFLA, Brazil; Mariane Camargo, Klabin S/A, Brazil; Luciano P. Oliveira, Technology Innovation Institute, United Arab Emirates; Hugo E. Hernandez-Figueroa, UNICAMP, Brazil
TUP.P6.9: NANETFORMER: NESTED ATTENTION NETWORK WITH AUXILIARY TRANSFORMER ENHANCEMENT FOR INFRARED SMALL TARGET DETECTION
Yunqiao Xi, Junping Zhang, Kun Liu, Harbin Institute of Technology, China
TUP.P6.10: ALIGNED FEATURE FOR VECTOR-BASED ROTATED OBJECT DETECTION
Yang Tian, Jinyu Li, Mengmeng Zhang, Beijing Institute of Technology, China
TUP.P6.11: MAFE-NET:MULTI-SCALE ADAPTIVE FEATURE ENHANCEMENT NETWORK FOR INFRARED WEAK VEHICLE TARGETS DETECTION
Hao Liu, Nan Zhang, Tian Tian, Jinwen Tian, Huazhong University of Science and Technology, China
Resources
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