TUP2.PI.2
DEEP LEARNING DATA FUSION APPROACH FOR AQUACULTURE FACILITY DETECTION
Seo Jin Kim, Hahn Chul Jung, Do-Hyun Hwang, Seung Jun Lee, Yonsei University, Korea (South); Moung-Jin Lee, Korea Environment Institute, Korea (South)
Session:
TUP2.PI: Image Segmentation Applications in Agriculture, Environment, and Urban Monitoring Poster
Track:
Data Analysis
Location:
Poster Area
Presentation Time:
Tuesday, 5 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session TUP2.PI
TUP2.PI.1: 10M RESOLUTION OF INDONESIA AND MALAYSIA OIL PALM PLANTATION MAP: SENTINEL-2 BASED APPROACH
Nuttaset Kuapanich, Jiaying Liu, Jiayin Jiang, Jiatao Huang, Juepeng Zheng, Sun Yat-sen University, China
TUP2.PI.2: DEEP LEARNING DATA FUSION APPROACH FOR AQUACULTURE FACILITY DETECTION
Seo Jin Kim, Hahn Chul Jung, Do-Hyun Hwang, Seung Jun Lee, Yonsei University, Korea (South); Moung-Jin Lee, Korea Environment Institute, Korea (South)
TUP2.PI.3: Multiple Image acquisition workflow for discontinuity network characterization in karst caves
Ademir Marques Jr, Graciela Racolte, Vinicius Sales, Daniel Zanotta, Unisinos University, Brazil; Delano Ibanez, Petrobras, Brazil; Maurício Veronez, Luiz Gonzaga Jr, Unisinos University, Brazil
TUP2.PI.4: WasteSort-AI: Hybrid Deep Learning Pipeline for the Classification of Recyclable Materials
Hafiz Muhammad Abubakar, Hasnain Ahmad, Beaconhouse National University, Pakistan; Wahaj Ul Islam, Knowledge Streams, Pakistan; Imrana Tiwana, Usman Nazir, Beaconhouse National University, Pakistan
TUP2.PI.5: Urban Slum Delineation in Mumbai: A Detection-Segmentation Approach
Anjali Raj, Kalepu Avinash, Adway Mitra, Indian Institute of Technology Kharagpur, India; Manjira Sinha, Tata Consultancy Services Research, India
TUP2.PI.6: VISUAL STATE-SPACE BASED MULTI-TASK LEARNING FOR BUILDING SEGMENTATION AND HEIGHT ESTIMATION
Sinan U. Ulu, Can Yagmur, Hasan F. Ates, Ozyegin University, Turkey; Bahadir K. Gunturk, Istanbul Medipol University, Turkey; Oguz Hanoglu, Huawei Turkiye Research and Development Center, Turkey
TUP2.PI.9: Mapping Coffee Plantations in Brazil Using Sentinel-1 and Planet NICFI Data with Deep Learning Models
Anesmar Albuquerque, Osmar Abílio de Carvalho Junior, Osmar Carvalho, Joelma Moura, Hugo Filho, Dora Antony, University of Brasília, Brazil
TUP2.PI.10: CROSS-SCALE WATER BODY EXTRACTION FROM VERY-HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON SEGMENT ANYTHING MODEL 2
Tianyi Zhang, Yi Ren, Weibin Li, Xuan Sun, Xidian University, China; Xihui Feng, Ministry of Natural Resources, China; Chenhao Qin, Wenbo Ji, Xidian University, China
TUP2.PI.11: Zero-Shot Detection of Center Pivot Irrigation Systems with SAM and Geometric Heuristics
Osmar Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Albuquerque, University of Brasília, Brazil
TUP2.PI.12: MULTI-LABEL VEGETATION SEGMENTATION DATASET FOR URBAN AND FOREST REGIONS IN SOUTH KOREA
Changhui Lee, Aisha Javed, Seoul National University of Science and Technology, Korea (South); Heein Yang, Daehee Kim, CONTEC, Korea (South); Nayoung Kim, Youkyung Han, Seoul National University of Science and Technology, Korea (South)
Resources
No resources available.