基于Cierniewski面BRDF模型的遥感卫星图像混合像元线性与非线性模型的比较

Kohei Arai
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引用次数: 0

摘要

对遥感卫星图像中像元由多种地被材料混合组成的线性和非线性混合像元模型进行了对比研究,用于遥感卫星图像分析。混合像元模型是基于Cierniewski的地表反射率模型。利用蒙特卡罗光线追踪:MCRT模拟进行了对比研究。通过仿真研究,阐明了线性和非线性混合像元模型的区别。仿真模型的正确性得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison Between Linear and Nonlinear Models of Mixed Pixels in Remote Sensing Satellite Images Based on Cierniewski Surface BRDF Model by Means of Monte Carlo Ray Tracing Simulation
Comparative study on linear and nonlinear mixed pixel models of which pixels in remote sensing satellite images is composed with plural ground cover materials mixed together, is conducted for remote sensing satellite image analysis. The mixed pixel models are based on Cierniewski of ground surface reflectance model. The comparative study is conducted by using of Monte Carlo Ray Tracing: MCRT simulations. Through simulation study, the difference between linear and nonlinear mixed pixel models is clarified. Also it is found that the simulation model is validated.
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