scholarly journals Image Mosaicking Approach for a Double-Camera System in the GaoFen2 Optical Remote Sensing Satellite Based on the Big Virtual Camera

Sensors ◽  
2017 ◽  
Vol 17 (6) ◽  
pp. 1441 ◽  
Author(s):  
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◽  
◽  
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Keyword(s):  
Remote Sensing ◽  
Optical Remote Sensing ◽  
Camera System ◽  
Virtual Camera ◽  
Image Mosaicking ◽  
Remote Sensing Satellite

An High Accuracy Image Mosaicking Approach of Optical Remote Sensing Satellite for Multi-Camera System

2017 ◽  
Vol 37 (8) ◽  
pp. 0828003
Author(s):  
程宇峰 Cheng Yufeng ◽  
金淑英 Jin Shuying ◽  
王 密 Wang Mi ◽  
常学立 Chang Xueli ◽  
朱 映 Zhu Ying
Keyword(s):  
Remote Sensing ◽  
High Accuracy ◽  
Optical Remote Sensing ◽  
Camera System ◽  
Image Mosaicking ◽  
Remote Sensing Satellite

scholarly journals Vicarious Methodologies to Assess and Improve the Quality of the Optical Remote Sensing Images: A Critical Review

2020 ◽  
Vol 12 (24) ◽  
pp. 4029
Author(s):  
Sakib Kabir ◽  
Larry Leigh ◽  
Dennis Helder
Keyword(s):  
Remote Sensing ◽  
Image Quality ◽  
Image Quality Assessment ◽  
Quality Parameters ◽  
Optical Remote Sensing ◽  
Coherent Noise ◽  
Ground Sample ◽  
Characterization Methods ◽  
Remote Sensing Satellite ◽  
Improved Technology

Over the past decade, number of optical Earth-observing satellites performing remote sensing has increased substantially, dramatically increasing the capability to monitor the Earth. The quantity of remote sensing satellite increase is primarily driven by improved technology, miniaturization of components, reduced manufacturing, and launch cost. These satellites often lack on-board calibrators that a large satellite utilizes to ensure high quality (radiometric, geometric, spatial quality, etc.) scientific measurement. To address this issue, this work presents “best” vicarious image quality assessment and improvement techniques for those kinds of optical satellites which lack an on-board calibration system. In this article, image quality categories have been explored, and essential quality parameters (absolute and relative calibration, aliasing, etc.) have been identified. For each of the parameters, appropriate characterization methods are identified along with their specifications or requirements. In cases of multiple methods, recommendations have been made based-on the strengths and weaknesses of each method. Furthermore, processing steps have been presented, including examples. Essentially, this paper provides a comprehensive study of the criteria that need to be assessed to evaluate remote sensing satellite data quality, and the best vicarious methodologies to evaluate identified quality parameters such as coherent noise and ground sample distance.

scholarly journals Resolving time-varying attitude jitter of an optical remote sensing satellite based on a time-frequency analysis

2020 ◽  
Vol 28 (11) ◽  
pp. 15805
Author(s):  
Zhen Ye ◽  
Yusheng Xu ◽  
Shouzhu Zheng ◽  
Xiaohua Tong ◽  
Xiong Xu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Frequency Analysis ◽  
Optical Remote Sensing ◽  
Time Varying ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Remote Sensing Satellite

Study Method for Testing Image Quality of Optical Remote Sensing Satellite of Vietnam

2018 ◽  
Vol 2 (9) ◽  
Author(s):  
Nghiem Van Tuan ◽  
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Nguyen Minh Ngoc ◽  
Tran Van Anh ◽  
Do Thi Phuong Thao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Image Quality ◽  
Optical Remote Sensing ◽  
Remote Sensing Satellite
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