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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| Format: | Thesis Book |
| Language: | English |
| Series: | Tesis
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| Call Number : | QK938.M27 |
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| LEADER | 00000nam a2200000 4500 | ||
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| 001 | 96108 | ||
| 003 | MY-KlNDU | ||
| 005 | 20250220083817.0 | ||
| 006 | a|||||r|||| 00| 0b | ||
| 007 | ta | ||
| 008 | 241002s2024 my a mab 00 beng | ||
| 040 | |a MY-KlNDU |b eng |c MY-KlNDU |e rda | ||
| 050 | 0 | 0 | |a QK938.M27 |
| 090 | |a the QK938.M27 |b N43 2024 | ||
| 100 | 0 | |a Nur Hazimah Nordin |e author | |
| 245 | 1 | 0 | |a BAND COMBINATION SIMILARITY INDEX USING MULTISPECTRAL LANDSAT IMAGES FOR MANGROVES MONITORING / |c Nur Hazimah Nordin |
| 264 | |a Kuala Lumpur : |b Fakulti Sains dan Teknologi Pertahanan UPNM , |c 2024. | ||
| 300 | |a xx, 225 leaves : |b illustrations ; |c 30 cm. | ||
| 336 | |a text |2 rdacontent |3 book | ||
| 336 | |a text |2 rdacontent |3 CD | ||
| 337 | |a unmediated |2 rdamedia |3 book | ||
| 337 | |a computer |2 rdamedia |3 CD | ||
| 338 | |a volume |2 rdacarrier |3 book | ||
| 338 | |a computer disc |2 rdacarrier |3 CD | ||
| 490 | 1 | |a Tesis | |
| 490 | 1 | |a Thesis | |
| 500 | |a This Thesis (Doctor of Philosophy) accompanied by 1 CD ROM bearing the same call number and available at circulation counter | ||
| 502 | |a Thesis (Doctor of Philosophy : Computer Science) -- Universiti Pertahanan Nasional Malaysia, 2024 | ||
| 504 | |a Includes bibliographical references | ||
| 505 | 0 | |a Chapter 1 : Introduction -- Chapter 2 : Literature Review -- Chapter 3 : Research Methodology -- Chapter 4 : Results and Discussions -- Chapter 5 : Conclusion and Recommendations | |
| 520 | |a 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. | ||
| 590 | |a Gift & Donation | ||
| 650 | 0 | |a Mangrove plants | |
| 650 | 0 | |a Environmental monitoring | |
| 650 | 0 | |a Content-based image retrieval system | |
| 650 | 0 | |a Ecology |x Remote sensing | |
| 710 | 2 | |b Centre for Graduate Studies |a Universiti Pertahanan Nasional Malaysia | |
| 830 | 0 | |a Tesis | |
| 830 | 0 | |a Thesis | |
| 942 | |2 lcc |c 22 | ||
| 999 | |c 96108 |d 96108 | ||