We proposed a new method based on supervised locality preserving projections (SLPP) for classification of high resolution satellite images. Compared with ...
Abstract. We proposed a new method based on supervised locality preserving projections (SLPP) for classification of high resolution satellite images. Com-.
Sep 3, 2008 · We proposed a new method based on supervised locality preserving projections (SLPP) for classification of high resolution satellite images.
We proposed a new method based on Supervised locality preserving projections (SLPP) for classification of high resolution satellite images. Compared with ...
Yen-Wei Chen, Xian-Hua Han: Classification of High-Resolution Satellite Images Using Supervised Locality Preserving Projections. KES (2) 2008: 149-156.
We proposed a new method based on Supervised locality preserving projections (SLPP) for classification of high resolution satellite images. Compared with ...
We proposed a new method based on supervised locality preserving projections (SLPP) for classification of high resolution satellite images. Compared with ...
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Six supervised image classification techniques are known as Parallelepiped classification ( P P C ), Minimum distance classification ( M D C ), Mahalanobis ...
Missing: Locality Preserving
This study compares three types of classifications of satellite data to identify the most suitable for making city maps in a semi-arid region.
Missing: Preserving | Show results with:Preserving
This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing.