遥感图像包含了大量的地理信息和反映地理特征和空间结构的复杂度。
Remote sensing images contain huge amount of geographical information and reflect the complexity of geographical features and spatial structures.
由于不同尺寸的结构元素适合不同空间尺度的图像特征。
Different sizes of structure element are suitable for image features on different spatial scales.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征基础上的信息融合。
The image feature fusion is a kind of data fusion that is based on spectral structure and texture feature of the objects.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征情况下的信息融合。
The image feature fusion is a kind of data fusion that is based upon spectral structure and texture feature of the objects.
从颜色块图提取的空间结构直方图是描述图像空间信息的一组特征。
Spatial Structure Histograms is a set of features extracted from color-blob maps to describe spatial information for an individual frame.
从高级信息的角度来描述图像语义，建立图像语义的特征矢量空间和语义划分的结构关系，实现图像与语义值的结构表达。
In order to explain and calculate the image semantics, the feature vectors and the semantic partition are constructed in structure related.
再通过分类K L变换去除量化误差图像的谱间相关性，对K L变换后的特征图像采用预测树的方法进一步去除谱间结构相关性和空间相关性。
Then the classified K_L transform is used to reduce the spectral correlation of quantization error image. Finally, the prediction tree is adopted to reduc…
再通过分类K L变换去除量化误差图像的谱间相关性，对K L变换后的特征图像采用预测树的方法进一步去除谱间结构相关性和空间相关性。
Then the classified K_L transform is used to reduce the spectral correlation of quantization error image. Finally, the prediction tree is adopted to reduc…
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