WEPA.PA.35

INDIVIDUAL TREE CROWN EXTRACTION FROM HIGH RESOLUTION IMAGE BASED ON A THRESHOLD-IMPROVED WATERSHED ALGORITHM

Ziyi Wang, Hao Tang, University of Electronic Science and Technology of China, China
Session:
WEPA.PA: Segmenting The Environment Poster
Track:
Data Analysis
Location:
Poster Area 4: Trianti Balcony
Presentation Time:
Wed, 10 Jul, 10:40 - 11:40
Session Co-Chairs:
Michael Mommert, Stuttgart University of Applied Sciences and Pedram Ghamisi, HZDR, Germany
Presentation
Discussion
Resources
No resources available.
Session WEPA.PA
WEPA.PA.35: INDIVIDUAL TREE CROWN EXTRACTION FROM HIGH RESOLUTION IMAGE BASED ON A THRESHOLD-IMPROVED WATERSHED ALGORITHM
Ziyi Wang, Hao Tang, University of Electronic Science and Technology of China, China
WEPA.PA.36: AN APPROACH FOR INTEGRATING SAR IMAGERY IN SEA-LAND SEGMENTATION AND COASTLINE DETECTION
Renke Zhu, Shanghai Jiao Tong University, China; Mingkang Xiong, Midea Corporate Research Center, Midea Group,, China; Tao Zhang, Feiming Wei, Shanghai Jiao Tong University, China; Sinong Quan, National University of Defense Technology, China; Wenxian Yu, Shanghai Jiao Tong University, China
WEPA.PA.37: BIOLOGICAL VALUATION MAP OF FLANDERS: A SENTINEL-2 IMAGERY ANALYSIS
Mingshi Li, Dusan Grujicic, KU Leuven, Belgium; Steven De Saeger, Belgium Instituut voor Natuur-en Bosonderzoek, Belgium; Stien Heremans, KU Leuven/Belgium Instituut voor Natuur-en Bosonderzoek, Belgium; Ben Somers, Matthew Blaschko, KU Leuven, Belgium
WEPA.PA.38: Extraction of Aquaculture Cages from High-Resolution Remote Sensing Images Based on Deep Learning
Ying Yuan, School of Computer and Information Technology, Northeast Petroleum University, China; Fei Li, College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, China; Dan Zhou, School of Computer and Information Technology, Northeast Petroleum University, China; Lu Bai, Anna Jurek-Loughrey, School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, United Kingdom; Zhibao Wang, School of Computer and Information Technology, Northeast Petroleum University, China
WEPA.PA.39: RECOVERING FROM CATASTROPHIC RECEPTIVE FIELD OVERFLOW IN SEMANTIC SEGMENTATION OF HIGH RESOLUTION IMAGES: APPLICATION TO SEABED CHARACTERIZATION
Yoann Arhant, Olga Lopera Tellez, Xavier Neyt, Royal Military Academy, Belgium; Aleksandra Pižurica, Ghent University, Belgium
WEPA.PA.40: AUTOMATED LANDSLIDE EXTENT ESTIMATION FROM SENTINEL 2 DATA USING COMPUTATIONALLY EFFICIENT DEEP LEARNING.
Nirdesh Sharma, Indian Institute of Technology Delhi, India; Harshul Malik, Ria Joshi, Manabendra Saharia, Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India, India
WEPA.PA.41: Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Networks
Cam Le, Lam Pham, Jasmin Lampert, Austrian Institute of Technology, Austria; Matthias Schlögl, University of Natural Resources and Life Sciences, Austria; Alexander Schindler, Austrian Institute of Technology, Austria
WEPA.PA.42: MORE LABELS OR BETTER LABELS? A SEMANTIC SEGMENTATION STUDY CASE USING HISTORICAL AERIAL IMAGES FOR TREE DELINEATION
Vitoria Barbosa Ferreira, Université Bretagne Sud, France; David Sheeren, Toulouse INP-ENSAT, France; Sébastien Lefèvre, Université Bretagne Sud, France; Stefan Lang, University of Salzburg, Austria
WEPA.PA.43: SEA-LAND SEGMENTATION OF POLARIMETRIC SAR IMAGES BASED ON THRESHOLDING USING POLARIMETRIC LIKELIHOOD RATIO
Chun Liu, Sutong Wang, Northwestern Polytechnical University, China; Jian Yang, Tsinghua University, China
WEPA.PA.44: A Deep Learning Approach to Individual Tree Crown Detection from Airborne LiDAR Data in Mixed-Wood Forest
Qian Li, Baoxin Hu, York University, Canada
Resources
No resources available.