Laser & Optoelectronics Progress, Volume. 55, Issue 8, 80104(2018)
Optical Concealment Depth Estimation Algorithm Based on Satellite Remote Sensing Data
In order to obtain the optical concealment depth of underwater submersible by satellite remote sensing data inversion and realize large scale measurement in time and space, we propose an optical concealment depth remote sensing inversion method based on the quasi analytical algorithm (QAA). At the same time, it is a new way for underwater vehicle equipped with the optical concealment depth measuring device. According to the optical depth concealment model, Aqua-MODIS and Terra-MODIS satellite remote sensing reflectance data is used on the grid. After preprocessing the data, the remote sensing reflectance cross calibration data quality control is completed, and the Terra and Aqua satellite data is cross-corrected. According to quasi analytical algorithm and Doron algorithm, the optical concealment depth remote sensing inversion model is established. The optical depth concealment fusion product for specific sea area is made. Three bands remote sensing reflectance data of 443 nm, 488 nm, and 555 nm is inputted for the model. The data level is L3m, and spatial resolution is 4 km. The longitude range of data is from 100°E to 125°E, and the latitude range is from 10°N to 38°N. The results show that, based on quasi analytical algorithm, optical concealment depth remote sensing inversion technology is a feasible path. A new method to obtain optical depth concealment is developed. The method provides a calibration method for underwater vehicle equipped with the optical concealment depth measuring device, and it also provides important technical support for underwater optical depth detection and anti-detection and other military applications.
Get Citation
Copy Citation Text
Zhu Hairong, Zhu Hai, Cai Peng, Li Weiyu, Shi Yingni, Liu Jintao. Optical Concealment Depth Estimation Algorithm Based on Satellite Remote Sensing Data[J]. Laser & Optoelectronics Progress, 2018, 55(8): 80104
Category: Atmospheric Optics and Oceanic Optics
Received: Mar. 2, 2018
Accepted: --
Published Online: Aug. 13, 2018
The Author Email: