空间分辨能力 meaning in Chinese
spatial resolving power
Examples
- Analysis and discussion on the low contrast and space resolving power of the x - ray equipment imaging system
光机成像系统低对比度分辨和空间分辨能力分析及讨论 - Because of many factors , the space resolving power is lower , it is difficult for the temperature measurement system to precisely measure the true temperature distribution
在实际应用中,由于各种因素的影响,课题组原辐射测温系统空间分辨能力较低,难以准确地测量微小面元温度分布及分布细节。 - The result of the estimation demonstrated that the fused images had higher spatial resolution while maintaining the basic spectral contents of the original tm images , and the visual effect and the accuracy of the classification bad been greatly enhanced
评价结果显示，融合后的图像既保留了多光谱图像的丰富光谱信息，又不同程度提高了空间分辨能力，很大程度上改善了目视解译效果和自动分类效果。 - Afterwards , in order to decrease the contradiction between the more complex and mass remote sensing image data and relatively slow speed of information extraction , an improved sfim image fusion method is proposed . this modified algorithm is on the base of sfim fusion technique , combines ihs method and sfim method and then replaces the former mean filter by an adaptive weighted mean filter . compared with the results of several common fusion techniques through a set of simulation tests between multispectral images and panchromatic images , it is proved that the new method can get an excellent result for the aim of improving spatial resolution while preserving the spectral information of multispectral images
论文的主要工作和成果包括：在像素层，论文研究了多传感器数据融合理论及遥感图像预处理的过程和步骤，归纳了多源遥感图像像素层融合的常用算法，并针对目前遥感数据呈海量化、复杂化这一发展趋势同遥感信息提取的能力和效率滞后这一矛盾，在sfim算法的基础上，将ihs变换与sfim相结合，将原算法中的均值滤波器改进为自适应加权均值滤波器，提出了一种改进的sfim算法，通过对一组多光谱图像和全色图像的双传感器融合仿真对比试验，证明了该算法在保持原多光谱图像光谱信息的同时，能够有效提高融合图像的空间分辨能力。 - The theoretical results showed that point spread function ’ s distribution and the stray light mainly influenced the space resolving power and the measurement precision of the temperature measurement system , so we supposed some methods , which can improve the space resolving power , and the results proved the space resolution improved from 37 m to 16 m . 2 . having made the space resolution come to 16 m , in order to improve the space resolving power more , we used image reconstruction method to reconstruct the
利用这两种方法,可以将测得的温度场分布中被点扩展函数卷积钝化掉的部分复原回来,实验测得微小面元温度分布在复原后温度最高值高于复原前最高值,且分布曲线变窄,较好地提高了系统的空间分辨能力,最终得到真实温度分布的最佳估计。