Monte Carlo Ray Tracing Based Adjacency Effect and Nonlinear Mixture Pixel Model for Remote Sensing Satellite Imagery Data Analysis
نویسنده
چکیده
Monte Carlo Ray Tracing: MCRT based adjacency effect and nonlinear mixture pixel model is proposed for remote sensing satellite imagery data analysis. Through simulation and actual visible to near infrared radiometer onboard spaceborne data utilizing experiment, the proposed model is confirmed and validated. Therefore, influences due to adjacency effect and nonlinearity of mixed pixel can be taken into account in the remote sensing satellite imagery data analysis. Keywords—adjucency effect; nonlinear mixed pixel model; Monte Carlo method; Ray tracing method
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