Coastal Discharges Monitoring by an Airborne Remote Sensing System

1991 ◽  
pp. 369-380
Author(s):  
M. Riccetti ◽  
M. Romano ◽  
S. Talice
Keyword(s):  
Remote Sensing ◽  
Airborne Remote Sensing ◽  
Sensing System

scholarly journals A Nonlinear Multiparameters Temperature Error Modeling and Compensation of POS Applied in Airborne Remote Sensing System

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jianli Li ◽  
Wenjian Wang ◽  
Feng Jiao ◽  
Jiancheng Fang ◽  
Tao Yu
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Error Modeling ◽  
Compensation Method ◽  
Temperature Error ◽  
Bayesian Regularization ◽  
Airborne Remote Sensing ◽  
Accuracy Requirement ◽  
Sensing System ◽  
Single Temperature

The position and orientation system (POS) is a key equipment for airborne remote sensing systems, which provides high-precision position, velocity, and attitude information for various imaging payloads. Temperature error is the main source that affects the precision of POS. Traditional temperature error model is single temperature parameter linear function, which is not sufficient for the higher accuracy requirement of POS. The traditional compensation method based on neural network faces great problem in the repeatability error under different temperature conditions. In order to improve the precision and generalization ability of the temperature error compensation for POS, a nonlinear multiparameters temperature error modeling and compensation method based on Bayesian regularization neural network was proposed. The temperature error of POS was analyzed and a nonlinear multiparameters model was established. Bayesian regularization method was used as the evaluation criterion, which further optimized the coefficients of the temperature error. The experimental results show that the proposed method can improve temperature environmental adaptability and precision. The developed POS had been successfully applied in airborne TSMFTIS remote sensing system for the first time, which improved the accuracy of the reconstructed spectrum by 47.99%.

scholarly journals Development of a Cost-Effective Airborne Remote Sensing System for Coastal Monitoring

Sensors ◽  
2015 ◽  
Vol 15 (10) ◽  
pp. 25366-25384 ◽  
Author(s):  
Duk-jin Kim ◽  
Jungkyo Jung ◽  
Ki-mook Kang ◽  
Seung Kim ◽  
Zhen Xu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Cost Effective ◽  
Airborne Remote Sensing ◽  
Coastal Monitoring ◽  
Sensing System

The Swedish airborne remote sensing system for maritime surveillance

1986 ◽  
Vol 3 (3) ◽  
pp. 209-229 ◽  
Author(s):  
Björn Looström
Keyword(s):  
Remote Sensing ◽  
Airborne Remote Sensing ◽  
Sensing System ◽  
Maritime Surveillance

SYSIPHE: the new-generation airborne remote sensing system

2012 ◽  
Author(s):  
Laurent Rousset-Rouviere ◽  
Christophe. Coudrain ◽  
Sophie Fabre ◽  
Nicolas Guérineau ◽  
Jean-Paul Bruyant ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Airborne Remote Sensing ◽  
Sensing System ◽  
New Generation

scholarly journals Development of Airborne Remote Sensing System for Monitoring Marine Meteorology (Sea Surface Wind and Temperature)

The Sea ◽  
2013 ◽  
Vol 18 (1) ◽  
pp. 32-39 ◽  
Author(s):  
Duk-Jin Kim ◽  
Yang-Ki Cho ◽  
Ki-Mook Kang ◽  
Jin-Woo Kim ◽  
Seung-Hee Kim
Keyword(s):  
Remote Sensing ◽  
Surface Wind ◽  
Sea Surface ◽  
Airborne Remote Sensing ◽  
Sensing System ◽  
Sea Surface Wind ◽  
Marine Meteorology

Development of an Airborne Remote Sensing System for Crop Pest Management: System Integration and Verification

2009 ◽  
Vol 25 (4) ◽  
pp. 607-615 ◽  
Author(s):  
Y. Lan ◽  
Y. Huang ◽  
D. E. Martin ◽  
W. C. Hoffmann
Keyword(s):  
Remote Sensing ◽  
Pest Management ◽  
System Integration ◽  
Management System ◽  
Airborne Remote Sensing ◽  
Crop Pest ◽  
Sensing System

Development of a low altitude airborne remote sensing system for supporting the processing of satellite remotely sensed data intended for archaeological investigations

2012 ◽  
Author(s):  
Athos Agapiou ◽  
Diofantos G. Hadjimitsis ◽  
Andreas Georgopoulos ◽  
Kyriacos Themistocleous ◽  
Dimitris D. Alexakis ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Airborne Remote Sensing ◽  
Sensing System ◽  
Low Altitude
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