Combining Pixel Swapping and Simulated Annealing for Land Cover Mapping

Combining Pixel Swapping and Simulated Annealing for Land Cover Mapping

Mixed pixels commonly exist in low-resolution remote sensing images, and they are the key factors hindering the classification of land covers and high-precision mapping. To obtain the spatial information at the subpixel level, subpixel mapping (SPM) technologies, including the pixel-swapping algorit...

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Bibliographic Details
Main Authors: Lijuan Su, Yue Xu, Yan Yuan, Jingyi Yang
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
remote sensing image
subpixel mapping
simulated annealing algorithm
pixel-swapping algorithm
Online Access:https://www.mdpi.com/1424-8220/20/5/1503

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