MOP.P6.9

FIRST RESULTS OF VESSEL DETECTION WITH ONBOARD PROCESSING OF DECOMPRESSED SENTINEL-2 LEVEL 0 DATA BY DEEP LEARNING

Roberto Del Prete, University of Naples Federico II and Φ-lab European Space Agency, Italy; Gabriele Meoni, Φ-lab European Space Agency, Italy; Maria Daniela Graziano, University of Naples Federico II, Italy; Nicolas Longepe, Φ-lab European Space Agency, Italy; Alfredo Renga, University of Naples Federico II, Italy
Session:
MOP.P6: Deep Learning for Scene Classification and Semantic Segmentation Poster
Track:
Data Analysis
Location:
Poster Area 6
Presentation Time:
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Session Chair:
Varsha Bhosale, Vidyalankar Institute of Technology
Session Managers:
Al Adil Al Hinai and Ivan Arias and Shubham Awasthi and Ayoti Banerjee
Presentation
Discussion
Resources
No resources available.
Session MOP.P6
MOP.P6.1: MULTI-SCALE INTERACTION PROTOTYPICAL NETWORK FOR FEW-SHOT REMOTE SENSING SCENE CLASSIFICATION
Shiji Pei, Yijing Wang, Jingjing Ma, Xu Tang, Yuqun Yang, Xidian University, China
MOP.P6.2: MULTI-GRAINED GLOBAL-LOCAL SEMANTIC FEATURE FUSION FOR FEW SHOT REMOTE SENSING SCENE CLASSIFICATION
Yuqing Liu, Tong Zhang, Yin Zhuang, Guanqun Wang, He Chen, Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, China
MOP.P6.3: A FRAMEWORK FOR TOKEN-BASED SCENE-CLASSIFICATION OF REMOTE SENSING IMAGES
Mohammad Iqbal Nouyed, Gianfranco Doretto, Donald Adjeroh, West Virginia University, United States
MOP.P6.4: SAR-UT: A SYNTHETIC-TO-MEASURED SAR IMAGE TRANSLATION NETWORK BASED ON TRANSFORMER
hengyi hu, zongyong cui, zheng zhou, zongjie cao, University of Electronic Science and Technology of China, China
MOP.P6.5: PERFORMANCE COMPARISION OF VGG-16 AND RESNET-34 ALGORITHMS FOR SUPERVISED CLASSIFICATION OF LANDSAT IMAGES
Varsha Bhosale, Vidyalankar Institute of Technology, India; Archana Patankar, Thadomal Sahani College of Engineering, India
MOP.P6.6: AUTOMATED DETECTION OF MACROBENTHOS IN TIDAL FLATS USING UNMANNED AERIAL VEHICLES AND DEEP LEARNING
Dong-Woo Kim, Seung-Woo Son, Sang-Hyuk Lee, Jeongho Yoon, Korea Environment Institute, South Korea
MOP.P6.7: INCREMENTAL LEARNING OF REMOTE SENSING TARGET CLASSIFICATION WITH CLASS HIERARCHY
Yang Chu, Peng Wang, Yuntao Qian, Zhejiang University, China
MOP.P6.8: COUPLED GRAPH CONVOLUTION NETWORK FOR CROSS-SCENE MULTISPECTRAL POINT CLOUD CLASSIFICATION
Mingye Wang, Qingwang Wang, Tao Shen, Jian Song, Kunming University of Science and Technology, China
MOP.P6.9: FIRST RESULTS OF VESSEL DETECTION WITH ONBOARD PROCESSING OF DECOMPRESSED SENTINEL-2 LEVEL 0 DATA BY DEEP LEARNING
Roberto Del Prete, University of Naples Federico II and Φ-lab European Space Agency, Italy; Gabriele Meoni, Φ-lab European Space Agency, Italy; Maria Daniela Graziano, University of Naples Federico II, Italy; Nicolas Longepe, Φ-lab European Space Agency, Italy; Alfredo Renga, University of Naples Federico II, Italy
Resources
No resources available.