闫利, 胡晓斌. 利用GA求解卫星影像的空间后方交会[J]. 武汉大学学报 ( 信息科学版), 2013, 38(11): 1286-1289.
引用本文: 闫利, 胡晓斌. 利用GA求解卫星影像的空间后方交会[J]. 武汉大学学报 ( 信息科学版), 2013, 38(11): 1286-1289.
ZHANG Chunsen, LI Hui. The Remote Sensing Image Spectrum Simulation with Mixed Pixel[J]. Geomatics and Information Science of Wuhan University, 2013, 38(11): 1286-1289.
Citation: ZHANG Chunsen, LI Hui. The Remote Sensing Image Spectrum Simulation with Mixed Pixel[J]. Geomatics and Information Science of Wuhan University, 2013, 38(11): 1286-1289.

利用GA求解卫星影像的空间后方交会

The Remote Sensing Image Spectrum Simulation with Mixed Pixel

  • 摘要: 克服经典平差线性化的不足,将遗传算法理论引入卫星影像的空间后方交会解算中,利用遗传算法全局和局部搜索力强的优势,求解IKONOS影像和模拟影像的单片空间后方交会病态问题。实验结果表明,遗传算法可以有效求得精度较高的最优解;同时,相比最小二乘、岭估计等方法,其运行效率也较高。

     

    Abstract: In this paper,we propose methods that combine with high time resolution MODIS images,high spatial resolution ETM+ images and classification data information based on the theory of down scaling in order to use multi-source remote sensing data effectively for fine remote sensing applications.Linear mixed model disaggregate mixed pixels in coarse resolution images.Therefore,when exploiting information within mixed pixels,each component fractional cover is derived from high spatial resolution classification maps.A model between the pixel reflection and class reflection simulates images with high spatial resolution and high time resolution characteristics.The calculated results of the correlation coefficient between the simulated image and the real image,the correlation coefficient between NDVI image produced by the simulate image and NDVI image produced by the real image showed a very high correspondence between them,validating the approach.

     

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