T
Tao Sun
Researcher at Chinese Academy of Sciences
Publications - 12
Citations - 69
Tao Sun is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Digital camera & Image processing. The author has an hindex of 4, co-authored 12 publications receiving 55 citations.
Papers
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Journal ArticleDOI
Application of attitude jitter detection based on short-time asynchronous images and compensation methods for Chinese mapping satellite-1
TL;DR: A method of jitter detection based on short-time asynchronous images to detect MS-1 jitter and assessment results obtained show that both radiometric and geometric qualities greatly increase after the jitter compensation procedure.
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A Novel Multi-Digital Camera System Based on Tilt-Shift Photography Technology
TL;DR: The study constructs indoor control fields and proposes appropriate calibration methods for TSC, including digital distortion model (DDM) approach and two-step calibrated strategy, and takes the attitude that using higher accuracy TSC in the new MDCS should further improve the accuracy of the photogrammetry senior product.
Journal ArticleDOI
Application of DIROEF Algorithm for Noncollinear Multiple CCD Array Stitching of the Chinese Mapping Satellite 1-02
TL;DR: A new image-space stitching approach based on the differential recursion optimal estimation filter for PAN images and described in detail is proposed, which shows that images with seamless visual effect and subpixel-level stitching precision can be obtained.
Patent
Spliced imaging system based on axis-shifting principle
Junyong Fang,Qingxi Tong,Yongqi Xue,Shengrong Zhang,Xue Liu,Xin Hao,Dong Zhao,Xiao Wang,Tao Sun,Jinnian Wang,Lanfen Zheng +10 more
TL;DR: In this article, a spliced imaging system based on an axis-shifting principle was proposed, where the imaging device is arranged on the focal plane of each imaging lens, and each imaging device has a preset axis shifting amount.
Journal ArticleDOI
Application of side-oblique image-motion blur correction to Kuaizhou-1 agile optical images.
TL;DR: A SOIM restoration method based on segmental point spread function detection that effectively corrects image motion for KZ-1 agile optical satellites and the radiometric quality is found to increase greatly after SOIM correction.