Field of view selection for optimal airborne imaging sensor performance

2014 ◽  
Author(s):  
Tristan M. Goss ◽  
P. Werner Barnard ◽  
Haldun Fildis ◽  
Mustafa Erbudak ◽  
Tolga Senger ◽  
...  
Keyword(s):  
Field Of View ◽  
View Selection ◽  
Sensor Performance ◽  
Selection For ◽  
Airborne Imaging ◽  
Imaging Sensor

Airborne imaging spectrometer with wide field of view and large relative-aperture

2015 ◽  
Vol 23 (1) ◽  
pp. 15-21
Author(s):  
陈伟 CHEN Wei ◽  
郑玉权 ZHENG Yu-quan ◽  
薛庆生 XUE Qing-sheng
Keyword(s):  
Field Of View ◽  
Wide Field ◽  
Imaging Spectrometer ◽  
Wide Field Of View ◽  
Airborne Imaging

Approaches and issues in view selection for materialising in data warehouse

2016 ◽  
Vol 21 (1) ◽  
pp. 17 ◽  
Author(s):  
Rajib Goswami ◽  
Dhruba Kr Bhattacharyya ◽  
Malayananda Dutta ◽  
Jugal K. Kalita
Keyword(s):  
Data Warehouse ◽  
View Selection ◽  
Selection For

Test and Evaluation of Space and Airborne Imaging Sensor Platforms

2011 ◽  
Vol 48 (6) ◽  
pp. 999-1011 ◽  
Author(s):  
Heard Lowry ◽  
Randy Nicholson ◽  
Randy Simpson ◽  
Kim Mead ◽  
Dustin Crider ◽  
...  
Keyword(s):  
Test And Evaluation ◽  
Sensor Platforms ◽  
Airborne Imaging ◽  
Imaging Sensor

scholarly journals Inter-Calibration of the OSIRIS-REx NavCams with Earth-Viewing Imagers

2019 ◽  
Vol 11 (22) ◽  
pp. 2717 ◽  
Author(s):  
David Doelling ◽  
Konstantin Khlopenkov ◽  
Conor Haney ◽  
Rajendra Bhatt ◽  
Brent Bos ◽  
...  
Keyword(s):  
Spectral Band ◽  
Field Of View ◽  
Space Probe ◽  
Gravity Assist ◽  
Tropical Ocean ◽  
Sensor Performance ◽  
Earth Gravity ◽  
The Earth ◽  
Current Constellation ◽  
Navigation Errors

The Earth-viewed images acquired by the space probe OSIRIS-REx during its Earth gravity assist flyby maneuver on 22 September 2017 provided an opportunity to radiometrically calibrate the onboard NavCam imagers. Spatially-, temporally-, and angularly-matched radiances from the Earth viewing GOES-15 and DSCOVR-EPIC imagers were used as references for deriving the calibration gain of the NavCam sensors. An optimized all-sky tropical ocean ray-matching (ATO-RM) calibration approach that accounts for the spectral band differences, navigation errors, and angular geometry differences between NavCam and the reference imagers is formulated in this paper. Prior to ray-matching, the GOES-15 and EPIC pixel level radiances were mapped into the NavCam field of view. The NavCam 1 ATO-RM gain is found to be 9.874 × 10−2 Wm−2sr−1µm−1DN−1 with an uncertainty of 3.7%. The ATO-RM approach predicted an offset of 164, which is close to the true space DN of 170. The pre-launch NavCam 1 and 2 gains were compared with the ATO-RM gain and were found to be within 2.1% and 2.8%, respectively, suggesting that sensor performance is stable in space. The ATO-RM calibration was found to be consistent within 3.9% over a factor of ±2 NavCam 2 exposure times. This approach can easily be adapted to inter-calibrate other space probe cameras given the current constellation of geostationary imagers.

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