Geometric Positioning Accuracy Improvement of ZY-3 Satellite Imagery Based on Statistical Learning Theory

Geometric Positioning Accuracy Improvement of ZY-3 Satellite Imagery Based on Statistical Learning Theory

With the increasing demand for high-resolution remote sensing images for mapping and monitoring the Earth’s environment, geometric positioning accuracy improvement plays a significant role in the image preprocessing step. Based on the statistical learning theory, we propose a new method to...

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Bibliographic Details
Main Authors: Niangang Jiao, Feng Wang, Hongjian You, Mudan Yang, Xinghui Yao
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Sensors
Subjects:
statistical learning theory
multi-temporal
block adjustment
rational function model (RFM)
improved fast iterative shrinkage-thresholding algorithm
inherent error compensation model
Online Access:http://www.mdpi.com/1424-8220/18/6/1701

Internet

http://www.mdpi.com/1424-8220/18/6/1701

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