Spaceborne imaging simulation of ship based on Monte Carlo ray tracing method

Biao Wang; Hong-fei He; Jia-xuan Lin

doi:10.1117/12.2069417

18 November 2014 Spaceborne imaging simulation of ship based on Monte Carlo ray tracing method

Biao Wang, Hong-fei He, Jia-xuan Lin

Proceedings Volume 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V; 92650G (2014) https://doi.org/10.1117/12.2069417
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

To demonstrate image quality and sensor’s performance for target detection before the satellite launched, it is necessary to establish an end-to-end model that express the detection probability in terms of atmosphere effects, the sensor, and optical scattering properties of target. It is difficult to develop an accurate 3D radiation transfer model for scene including complex target, especially for large scale scene. It is beneficial to process separately the target and large scale background. Radiance from sea background can be solved exactly with atmospheric-ocean coupling radiation transfer model. However for ship target, it is only but sufficient to using the sample model. In the model the illuminated light is separate into direct sunlight and sky light, and the sensor received radiance is radiance scatted from target and attenuated by atmosphere. High spatial/spectral resolution image simulated with Monte Carlo ray tracing method is used as input for modeling space-borne imagery, which is economic for demonstrating sensor’s performance at different conditions and multiple scattering can also be considered. Bidirectional reflectance distribution function (BRDF) is introduced to characterize the light scattering model of the ship sample material.

Citation Download Citation

Biao Wang, Hong-fei He, and Jia-xuan Lin "Spaceborne imaging simulation of ship based on Monte Carlo ray tracing method", Proc. SPIE 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V, 92650G (18 November 2014); https://doi.org/10.1117/12.2069417

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