Aggregation of multi-source information for classification of remotely sensed images

• Main Author: Chong, Chee Chung.
• Other Authors: Jia, Jiancheng
• Format: Theses and Dissertations
• Published: 2010
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• Online Access: http://hdl.handle.net/10356/38953
• Institution: Nanyang Technological University

Classification of remotely sensed images is typically performed by applying a decision rule to each pixel and classify it based on spectral information. To further improve classification accuracy, researchers had proposed the use of multi-source information. In addition to the spectral information,...