Classification Based Approach for Spectral Signature of Remotely Sensed Temporal Data

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Provided by: International Journal of Computer Science and Network Solutions (IJCSNS)
Topic: Data Management
Format: PDF
Techniques based on multi-temporal, multi-spectral and satellite-sensor have demonstrated potential as a means to detect, identify, map and monitor ecosystem changes. Multi-temporal images processing becomes more and more important in monitoring earth surface. The large collection of past and present remote sensing imagery makes it possible to analyze spatio-temporal and spectro-temporal pattern of environmental elements. However most existing multi-temporal classification methods use the spectral information alone, ignoring the spatial and temporal correlation between images acquired from different dates, in spite of this represents an amount of information far greater than the individual images.
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