TH1.R1.1: URBANNET: WEAKLY SUPERVISED DEEP LEARNING FOR ROAD AND BUILDING SEGMENTATION IN URBAN AREAS
Munazza Usmani, Francesca Bovolo, Maurizio Napolitano, Fondazione Bruno Kessler Trento, Italy, Italy
TH1.R1.2: A NOVEL BOUNDARY AWARE SEMI-SUPERVISED ADVERSARIAL LEARNING FRAMEWORK FOR REGION-OF-INTEREST EXTRACTION FROM HIGH RESOLUTION REMOTE SENSING IMAGES
Santhu S Nampoothiri, Akshara Preethy Byju, Amrita Vishwa Vidyapeetham, India; Lorenzo Bruzzone, University of Trento, Italy
TH1.R1.3: COMPARING LOSS FUNCTIONS FOR SEGFORMER-BASED LANDSLIDE SEGMENTATION
abdelkader Riche, University of Florence, Italy; Abdallah Zeggada, Independent Researcher, Italy; Mohammed Alruqimi, University of Trento, Italy; Pierluigi Confuorto, University of Florence, Italy; Mawloud Guermoui, University of Trento, Italy; Silvia Bianchini, University of Florence, Italy; Farid Melgani, University of Trento, Italy
TH1.R1.4: SEMANTIC SEGMENTATION APPROACH TO IDENTIFY THE GLACIAL RETREAT ZONES IN THE HIMALAYAS USING LANDSAT AND SENTINEL-1 DATA
Jai Shree Lokesh, Anbini Kumaragurubaran, Jaison Paulson, Padmini Gunasekaran, Shoba Periasamy, Sabreen Sadhak, Narmatha Balachandar Gani, Anna University, India
TH1.R1.5: Quantum Annealing Based Satellite Image Denoising: Initial Results
Indranil Misra, S Manthira Moorthi, Debajyoti Dhar, Space Applications Centre (SAC), Indian Space Research Organisation (ISRO), India
TH1.R1.6: SAR IMAGE DENOISING USING NON-LOCAL SPARSE PRINCIPAL COMPONENT ANALYSIS
Mohamed Dalil, Jamila Fathi, Yassine Tounsi, Mohammed Khouilid, Abdelkrim Nassim, Chouaib Doukkali University, Morocco
