Remote Whale Detection: A Hyperspectral View
| dc.contributor.advisor | Tribble, Jane | |
| dc.contributor.advisor | DeWeert, Michael | |
| dc.contributor.author | Dichner, Michael | |
| dc.contributor.department | Oceanography | |
| dc.contributor.department | Global Environmental Science | |
| dc.date.accessioned | 2025-10-08T19:02:39Z | |
| dc.date.available | 2025-10-08T19:02:39Z | |
| dc.date.issued | 2001 | |
| dc.description.course | OCN 499 - Undergraduate Thesis | |
| dc.identifier.uri | https://hdl.handle.net/10125/111348 | |
| dc.publisher.place | Honolulu | |
| dc.title | Remote Whale Detection: A Hyperspectral View | |
| dc.type | Thesis | |
| dcterms.abstract | This paper presents the necessary background knowledge needed to develop a remote hyperspectral imaging sensor. It also describes the algorithmic process of detecting whales in digital data using sophisticated software. A hyperspectral imaging system which is comprised of a stabilizer, lens assembly and transmission grating, CCD, and computer software was used in March 2001 by Science and Technology International® (STI) in order to gather and process hyperspectral data for the purpose of whale counting. The presence of submerged humpback whales in the data was confirmed and their hyperspectral information was analyzed. | |
| dcterms.extent | 52 pages | |
| dcterms.language | English | |
| dcterms.publisher | University of Hawaiʻi at Mānoa | |
| dcterms.rights | All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner. | |
| dcterms.type | Text |
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