Optical coatings for the FY-1 Meteorological Satellite and airborne remote sensing instruments

1994 ◽  
Vol 33 (2) ◽  
pp. 643
Author(s):  
Yixun Yan
Keyword(s):  
Remote Sensing ◽  
Optical Coatings ◽  
Airborne Remote Sensing ◽  
Meteorological Satellite

Meteorological satellite TIROS—N TOVS remote sensing of atmospheric property and cloud

1993 ◽  
Vol 10 (4) ◽  
pp. 387-392 ◽  
Author(s):  
Zhao Bolin ◽  
Zhu Yuanjing ◽  
Zhang Chengxiang ◽  
Zhen Jinming ◽  
Zhang Wenfian
Keyword(s):  
Remote Sensing ◽  
Meteorological Satellite

scholarly journals Airborne remote sensing applications to coastal wave research

1998 ◽  
Vol 103 (C9) ◽  
pp. 18791-18800 ◽  
Author(s):  
Paul A. Hwang ◽  
Edward J. Walsh ◽  
William B. Krabill ◽  
Robert N. Swift ◽  
Serdar S. Manizade ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Airborne Remote Sensing ◽  
Sensing Applications ◽  
Wave Research ◽  
Remote Sensing Applications

scholarly journals Extrinsic Parameters Calibration Method of Cameras with Non-Overlapping Fields of View in Airborne Remote Sensing

2018 ◽  
Vol 10 (8) ◽  
pp. 1298 ◽  
Author(s):  
Lei Yin ◽  
Xiangjun Wang ◽  
Yubo Ni ◽  
Kai Zhou ◽  
Jilong Zhang
Keyword(s):  
Remote Sensing ◽  
Camera Calibration ◽  
Calibration Method ◽  
Optimization Method ◽  
Airborne Remote Sensing ◽  
Camera System ◽  
Translation Error ◽  
Camera Systems ◽  
Calibration Methods ◽  
Extrinsic Parameters

Multi-camera systems are widely used in the fields of airborne remote sensing and unmanned aerial vehicle imaging. The measurement precision of these systems depends on the accuracy of the extrinsic parameters. Therefore, it is important to accurately calibrate the extrinsic parameters between the onboard cameras. Unlike conventional multi-camera calibration methods with a common field of view (FOV), multi-camera calibration without overlapping FOVs has certain difficulties. In this paper, we propose a calibration method for a multi-camera system without common FOVs, which is used on aero photogrammetry. First, the extrinsic parameters of any two cameras in a multi-camera system is calibrated, and the extrinsic matrix is optimized by the re-projection error. Then, the extrinsic parameters of each camera are unified to the system reference coordinate system by using the global optimization method. A simulation experiment and a physical verification experiment are designed for the theoretical arithmetic. The experimental results show that this method is operable. The rotation error angle of the camera’s extrinsic parameters is less than 0.001rad and the translation error is less than 0.08 mm.

Euromar-seastars A Modular Multi-sensor System For Airborne Remote Sensing Of The Sea

2005 ◽  
Author(s):  
A.P. Wolframm ◽  
C. Bosswetter ◽  
B. Kunkel ◽  
U. Kraft ◽  
H.-D.V. Bohm ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sensor System ◽  
Airborne Remote Sensing
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