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BAND COMBINATION SIMILARITY INDEX USING MULTISPECTRAL LANDSAT IMAGES FOR MANGROVES MONITORING /

This research analyzes the ability of Content Based Image Retrieval (CBIR) System to efficiently monitor mangrove ecosystems with precision. The objective of this research is to tackle the challenge of creating a reliable and automated system to effectively monitor mangrove ecosystem with precision.

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Bibliographic Details
Main Author: Nur Hazimah Nordin (Author)
Corporate Author: Centre for Graduate Studies Universiti Pertahanan Nasional Malaysia
Format: Thesis Book
Language:English
Series:Tesis
Thesis
Subjects:
Mangrove plants
Environmental monitoring
Content-based image retrieval system
Ecology > Remote sensing
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Description
Summary:This research analyzes the ability of Content Based Image Retrieval (CBIR) System to efficiently monitor mangrove ecosystems with precision. The objective of this research is to tackle the challenge of creating a reliable and automated system to effectively monitor mangrove ecosystem with precision.
Item Description:This Thesis (Doctor of Philosophy) accompanied by 1 CD ROM bearing the same call number and available at circulation counter
Physical Description:xx, 225 leaves : illustrations ; 30 cm.
Bibliography:Includes bibliographical references

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