ground based remote sensing 地面为基础的遥感技术
visible light based remote sensing 可见光遥感
content-based remote sensing image retrieval 基于内容的遥感影像检索
based on remote sensing data 基于遥感
ground-based microwave remote sensing 地基微波遥感
As one of the fundamental visualized characters, texture feature is used widely in the Content-based Remote Sensing Images Retrieval.
纹理特征作为基本的视觉特征之一，在基于内容的遥感图像检索中得到了广泛的应用。
There are usually few training samples in the tasks of content-based remote sensing image retrieval, which will lead to over-learning problem while using this small data set for training.
提出一种基于多分类器协同训练的遥感图像检索方法，该方法在不同特征集上分别建立分类器，利用不同分类器的协同性自动标记未知样本，从而有效解决了小样本问题。
The main drawback of traditional remote sensing image classification methods is its low precision. A neural network-based remote sensing image classification technique has been presented.
针对传统的遥感图像分类方法分类精度低的缺点，提出了一种基于神经网络的分类方法。
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