A hierarchical methodology framework for multisource data fusion in vegetation classification
- 1 December 1998
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 19 (18) , 3697-3701
- https://doi.org/10.1080/014311698213911
Abstract
This Letter presents a new methodological framework for a hierarchical data fusion system for vegetation classification using multi-sensor and multitemporal remotely sensed imagery. The uniqueness of the approach is that the overall structure of the fusion system is built upon a hierarchy of vegetation canopy attributes that can be remotely detected by sensors. The framework consists of two key components: an automated multisource image registration system and a hierarchical model for multi-sensor and multi-temporal data fusion.Keywords
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