MO4.P10.3
Internal Clustering Validation on Riemannian manifolds for PolSAR Data Analysis
Gabriel Vasile, Marco Congedo, French National Center for Scientific Research, France
Session:
MO4.P10: POLSAR Advanced Methods and Applications I Oral
Track:
Community-Contributed Sessions
Location:
Room P10
Presentation Time:
Monday, 4 August, 16:15 - 16:30
Session Co-Chairs:
Ridha Touzi, Canada Centre for Remote Sensing and Motofumi Arii, Mitsubishi Electric Corporation
Presentation
Discussion
Resources
No resources available.
Session MO4.P10
MO4.P10.1: INITIAL VALIDATION OF VARIABLE DECOMPOSITION RESULTS BY A GENERAL VOLUME SCATTERING MODEL
Motofumi Arii, Mitsubishi Electric Corporation, Japan
MO4.P10.2: FOREST CHANGE CHARACTERISATION BY MEANS OF MULTI-BASELINE POL-INSAR TECHNIQUES: STATE-OF-THE-ART AND FUTURE CHALLENGES
Roman Guliaev, Lea Albrecht, Noelia Romero-Puig, Jun-Su Kim, Matteo Pardini, Konstantinos Papathanassiou, German Aerospace Center, DLR, Germany
MO4.P10.3: Internal Clustering Validation on Riemannian manifolds for PolSAR Data Analysis
Gabriel Vasile, Marco Congedo, French National Center for Scientific Research, France
MO4.P10.4: TEMPORAL ENSEMBLE EFFECT IN SCATTERING POWER DECOMPOSITION
Ryu Sugimoto, National Institute of Advanced Industrial Science and Technology, Japan; Ryo Natsuaki, The University of Tokyo, Japan; Chiaki Tsutsumi, Toru Kouyama, National Institute of Advanced Industrial Science and Technology, Japan; Yoshio Yamaguchi, Niigata University, Japan
MO4.P10.5: QUPOLBIT: A QUANTUM ANALOGY FOR REPRESENTING FULL-POLARIMETRIC SAR DATA
Avik Bhattacharya, Abhinav Verma, Indian Institute of Technology Bombay, India; Armando Marino, University of Stirling, United Kingdom; Mihai Datcu, Telecommunications and Information, POLITECHNICA, Bucharest,, Romania; Alejandro C. Frery, Victoria University of Wellington, New Zealand
Resources
No resources available.