天文高分辨率像复原实验表明，砌砖法的效率被大大地提高了。
The experiments of astronomical high resolution image reconstruction showed that the efficiency of the Building Block is raised obviously.
在实际干涉成像中，可以选择适当的孔径间距来获得较好的干涉条纹，从而获得目标的高分辨率像。
Therefore, proper distance between the transmit apertures could be selected to get better interference fringes and high resolution images.
得到任意视角及可变信噪比下的一维距离高分辨率像，并用线性内差神经网络进行识别，得到了满意的结果。
The HRR image at various look angles and ratios of signal to noise is recognized by Linear Interpolation Neural Network and the result is very satisfactory.
简要地介绍了斑纹全息术的原理，报道了用斑纹全息术对两天文双星ads11344和ADS16648进行的高分辨率像复原观测结果。
The observation of high resolution image reconstruction with speckle holography for two astronomical double stars ADS11344 and ADS16648 was reported.
这种矩形机器人，看上去有点像缩小版的太阳能汽车。它装备着高分辨率的摄像机和传感器，能探测到长的过分高大的树木。
The rectangular robot--looking a bit like a scaled down version of a solar car--is equipped with a high-definition camera and sensors that can detect overgrown trees.
本文阐述了高分辨率一维距离成像的原理，提出了一种基于目标距离像的目标信号检测和跟踪方法。
The principle of obtaining one dimensional high resolution range profiles (HRRP) of a target is introduced, and a method of target detection and tracking based on HRRP is presented.
该文模拟不同空间分辨率的遥感图像中混合像元造成的误分类情况，同时应用线性模型对混合像元进行了分解提纯，用以提高分辨率精度。
This article simulates misclassification because of mixed pixels on different spatial resolution images, then applies linear model to decompose mixed pixel, so as to improve classification accuracy.
所设计的变焦距物镜适用于多种医用内窥镜图像显示系统，其像质可与高分辨率的CCD图像传感器匹配。
The designed zoom objective lens can be applied to various medical endoscope imaging systems with good image quality to match the high resolution of CCD image sensors.
第二步是解码过程，对编码图像进行滤波和重建，以便获得高分辨率的可视目标像。
The second step is decoded process, in which the coded image is filtered and reconstructed in order to obtain a visible object image with high resolution.
得出结论，面向对象分类法比基于像元的分类法精度更高，更适合于高分辨率遥感分类。
Concluded that the object-oriented classification than the pixel-based classification more precise, more suitable for high-resolution remote sensing classification.
得出结论，面向对象分类法比基于像元的分类法精度更高，更适合于高分辨率遥感分类。
Concluded that the object-oriented classification than the pixel-based classification more precise, more suitable for high-resolution remote sensing classification.
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