Hybridization of SLIC and extra tree for object based image analysis in extracting shoreline from medium resolution satellite images

Hybridization of SLIC and extra tree for object based image analysis in extracting shoreline from medium resolution satellite images

Observation satellites orbiting the Earth provide important surveillance information that helps in identifying various types of land cover. As such, the resolution of satellite images is critical to ensure high accuracy in classifying land cover types. Clearly, high-resolution images are desirable,...

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Bibliographic Details
Main Authors: Abd Manaf, Syaifulnizam, Mustapha, Norwati, Sulaiman, Md. Nasir, Husin, Nor Azura, Mohd Shafri, Helmi Zulhaidi, Razali, Mohd Norhisham
Format: Article
Language:English
Published: Intelligent Networks and Systems Society 2018
Online Access:http://psasir.upm.edu.my/id/eprint/64659/
http://psasir.upm.edu.my/id/eprint/64659/1/Hybridization%20of%20SLIC%20and%20extra%20tree%20for%20object%20based%20image%20analysis%20in%20extracting%20shoreline%20from%20medium%20resolution%20satellite%20images.pdf

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http://psasir.upm.edu.my/id/eprint/64659/
http://psasir.upm.edu.my/id/eprint/64659/1/Hybridization%20of%20SLIC%20and%20extra%20tree%20for%20object%20based%20image%20analysis%20in%20extracting%20shoreline%20from%20medium%20resolution%20satellite%20images.pdf

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