Subpixel Mapping for Remote Sensing Images
portes grátis
Subpixel Mapping for Remote Sensing Images
Wang, Peng; Zhang, Lei
Taylor & Francis Ltd
12/2022
268
Dura
Inglês
9781032229386
15 a 20 dias
Descrição não disponível.
Introduction. Basic Principle of Sub-pixel Mapping. Sub-pixel Mapping Based on Single Remote Sensing Image. Subpixel Mapping Based on Multi-Shift Remote Sensing Images. Subpixel Mapping of Remote Sensing Imaging Based on Pansharpening Technology. Subpixel Mapping of Remote Sensing Image Based on Reconstruction then Classification. Application of Subpixel Mapping Technology in Remote Sensing Imaging.
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Remote sensing image processing;Surveying;Super-resolution mapping;Spectral unmixing;Pansharpening;SPM;Cartography;Classification;Remote Sensing Image;Spatial Spectral Information;Spatial Attraction Model;Land Cover Classes;RGB Band;Mixed Pixel;Data Set;Super-resolution Reconstruction;Multi-scale Information;Spectral Unmixing Method;False Color Composite Image;Hyper-spectral Image;Hyperspectral Image;Spectral Unmixing Model;High Spatial Resolution Multispectral Image;High Spatial Resolution Panchromatic Image;Panchromatic Image;Original Hyperspectral Image;Pansharpening Technique;SVM Classification Algorithm;Burned Area Mapping;Unmixing Errors
Introduction. Basic Principle of Sub-pixel Mapping. Sub-pixel Mapping Based on Single Remote Sensing Image. Subpixel Mapping Based on Multi-Shift Remote Sensing Images. Subpixel Mapping of Remote Sensing Imaging Based on Pansharpening Technology. Subpixel Mapping of Remote Sensing Image Based on Reconstruction then Classification. Application of Subpixel Mapping Technology in Remote Sensing Imaging.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Remote sensing image processing;Surveying;Super-resolution mapping;Spectral unmixing;Pansharpening;SPM;Cartography;Classification;Remote Sensing Image;Spatial Spectral Information;Spatial Attraction Model;Land Cover Classes;RGB Band;Mixed Pixel;Data Set;Super-resolution Reconstruction;Multi-scale Information;Spectral Unmixing Method;False Color Composite Image;Hyper-spectral Image;Hyperspectral Image;Spectral Unmixing Model;High Spatial Resolution Multispectral Image;High Spatial Resolution Panchromatic Image;Panchromatic Image;Original Hyperspectral Image;Pansharpening Technique;SVM Classification Algorithm;Burned Area Mapping;Unmixing Errors