Improving spatiotemporal reflectance fusion using image inpainting and steering kernel regression techniques

• Main Authors: WU, Bo, HUANG, Bo, CAO, Kai, ZHUO, Guohao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/5456; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6459&context=sis_research
• Institution: Singapore Management University

A novel spatiotemporal reflectance fusion method integrating image inpainting and steering kernel regression fusion model (ISKRFM) is proposed to improve the fusion accuracy for remotesensing images with different temporal and spatial characteristics in this article. This method first detects the la...