WE3.W1: Techniques for Classification of Multispectral Images |
| Session Type: Oral |
| Time: Wednesday, July 29, 13:30 - 15:10 |
| Location: White 1 |
| Session Chairs: Melba Crawford, Purdue University and Jocelyn Chanussot, Grenoble Institute of Technology |
| WE3.W1.1: A SUPERVISED BAYESIAN APPROACH FOR SIMULTANEOUS SEGMENTATION AND CLASSIFICATION |
| Daniel Capella Zanotta; IFRS - Rio Grande |
| Matheus Pinheiro Ferreira; INPE |
| Maciel Zortea; Instituto de Informática - Universidade Federal do Rio Grande do Sul |
| Jean Marcel Almeida Espinoza; IFRS - Rio Grande |
| Yosio Edemir Shimabukuro; INPE |
| WE3.W1.2: A MARKOV RANDOM FIELD MODEL FOR DECISION LEVEL FUSION OF MULTI-SOURCE IMAGE SEGMENTS |
| Willem Olding; University of Tasmania |
| Jan Olivier; University of Tasmania |
| Brian Salmon; University of Tasmania |
| WE3.W1.3: A COMPARATIVE STUDY OF SAMPLING ANALYSIS IN SCENE CLASSIFICATION OF HIGH-RESOLUTION REMOTE SENSING IMAGERY |
| Jingwen Hu; Wuhan University |
| Gui-Song Xia; Wuhan University |
| Fan Hu; Wuhan University |
| Hong Sun; Wuhan University |
| Liangpei Zhang; Wuhan University |
| WE3.W1.4: SUP-PIXEL MAPPING OF URBAN SURFACES USING ENMAP DATA |
| Johannes Rosentreter; Freie Universität Berlin |
| Björn Waske; Freie Universität Berlin |
| WE3.W1.5: HISTOGRAM BASED ATTRIBUTE PROFILES FOR CLASSIFICATION OF VERY HIGH RESOLUTION REMOTE SENSING IMAGES |
| Begüm Demir; University of Trento |
| Lorenzo Bruzzone; University of Trento |
