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提出一种基于分形理论和BP 神经网络的航空遥感图像有监督分类方法。该方法尝试将航空图像
的光谱信息和纹理特征相结合。它首先将彩色航空图像由RGB 格式转化为HSI 格式,然后,根据亮度计算分
数维、多重分形广义维数谱q-D( q) 和“空隙”等基于分形的纹理特征,同时加入归一化的色度和饱和度作为光
谱特征,采用BP 神经网络作为分类器。通过对彩色航空图像的分类实验,结果证实该方法行之有效。-Based on fractal theory and BP neural network
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利用bp神经网络对遥感图像进行分类，输入样本值后，根据样本值对遥感图像不同的地物进行分类，分类后计算每种地物所占面积-The use of bp neural network classification of remote sensing images, enter a sample value, based on the sample value of the different features of remote sensing image classification, classif
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Several transactions on Doppler radar based measurement design(i.g., radar pulse imaging, airbourne radar), reporting recent research progress in radar system and remote sensing.-The package contains six transaction papers on Doppler radar-based meas
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基于Contourlet变换的遥感图像融合-Remote Sensing Image Fusion Algorithm Based on Contourlet Transform
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刃边法测量遥感图像MTF的相关资料，包含源代码-Relevant information blade edge MTF measurement of remote sensing image, including source code
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遥感盐分反演，介绍了matlab进行数学建模，并采用bp神经网络等内容-Remote sensing of salt inversion, introduced matlab mathematical modeling, and the use of neural networks and other content bp
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