Computerised imaging spectrometer for remote sensing of vegetation

This report aims to lay a foundation for implementing Imaging Spectrometer on LEO (Low Earth Orbit) satellites. The report starts by suggesting novel ways of using wavelet transform for spectral signature compression and spectral signature recognition. Tests were performed on spectral data from the...

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Main Author: Yap, Lian Teck.
Other Authors: Tam, Siu Chung
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3862
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-38622023-07-04T15:17:50Z Computerised imaging spectrometer for remote sensing of vegetation Yap, Lian Teck. Tam, Siu Chung School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics This report aims to lay a foundation for implementing Imaging Spectrometer on LEO (Low Earth Orbit) satellites. The report starts by suggesting novel ways of using wavelet transform for spectral signature compression and spectral signature recognition. Tests were performed on spectral data from the US Geological Survey (USGS) to prove the concept. Master of Engineering 2008-09-17T09:39:15Z 2008-09-17T09:39:15Z 2002 2002 Thesis http://hdl.handle.net/10356/3862 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
Yap, Lian Teck.
Computerised imaging spectrometer for remote sensing of vegetation
description This report aims to lay a foundation for implementing Imaging Spectrometer on LEO (Low Earth Orbit) satellites. The report starts by suggesting novel ways of using wavelet transform for spectral signature compression and spectral signature recognition. Tests were performed on spectral data from the US Geological Survey (USGS) to prove the concept.
author2 Tam, Siu Chung
author_facet Tam, Siu Chung
Yap, Lian Teck.
format Theses and Dissertations
author Yap, Lian Teck.
author_sort Yap, Lian Teck.
title Computerised imaging spectrometer for remote sensing of vegetation
title_short Computerised imaging spectrometer for remote sensing of vegetation
title_full Computerised imaging spectrometer for remote sensing of vegetation
title_fullStr Computerised imaging spectrometer for remote sensing of vegetation
title_full_unstemmed Computerised imaging spectrometer for remote sensing of vegetation
title_sort computerised imaging spectrometer for remote sensing of vegetation
publishDate 2008
url http://hdl.handle.net/10356/3862
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