Jusoff, Kamaruzaman and Pathan, Mubeena (2009) Mapping of Individual Oil Palm Trees Using Airborne Hyperspectral Sensing: An Overview. Applied Physics Research, 1 (1). pp. 15-30. ISSN 1916-9639
Full text not available from this repository.
This overview represents a preamble step for developing an approach for mapping individual oil palm trees from airborne hyperspectral imaging. The study generally describes airborne hyperspectral sensors in different fields particularly in agriculture by comparing and analyzing their uniqueness for different applications. The emphasis is on the image processing in identifying and mapping of the individual oil palm trees with the utilization of image histogram to examine the RGB bands. An algorithm is design to discover the involvement of different materials in a single mixed pixel and converting it into a pure pixel. The techniques employ in this connection are Linear Spectral Mixture Analysis (LSMA), Mix to Pure Converter (MPC) and Euclidean Norm.
|Keyword:||Hyperspectral, Airborne, Image processing, Linear spectral mixture analysis (LSMA), Mix to pure converter (MPC), Euclidean norm|
|Faculty or Institute:||Faculty of Forestry|
|Deposited By:||Norhazura Hamzah|
|Deposited On:||15 Jun 2010 09:08|
|Last Modified:||15 Jun 2010 09:10|
Repository Staff Only: Edit item detail
Document Download Statistics
This item has been downloaded for since 15 Jun 2010 09:08.