1·Infrared image edge extraction is the important technique basis of image interpretation.
红外图像的边缘提取是其判读和识别的重要技术基础。
2·Infrared image noise repression is an important technique foundation of image interpretation.
红外图像杂噪音抑制是图像识别的重要技术基础。
3·Synthetic Aperture Radar (SAR) image classification is a key technique of SAR image interpretation.
合成孔径雷达(SAR)图像分类是SAR图像解译的关键技术之一。
4·Speckle noise of Synthetic Aperture Radar (SAR) affects image quality and image interpretation seriously.
合成孔径雷达(SAR)的相干斑噪声严重影响图像质量，降低图像的可判读性。
5·Stripe noise of remote sensing image has influence not only on image interpretation, but also on following processing.
遥感图像的条纹噪音，不但影响图像的判读，而且对图像的后续处理影响较大。
6·A hierarchical object detection method based on vision saliency was proposed for automatic sensing image interpretation.
针对遥感图像自动判读的应用场景，提出了一种基于视觉显著性的分层目标检测方法。
7·A hierarchical object detection method based on vision saliency was proposed for automatic remote sensing image interpretation.
针对遥感图像自动判读的应用场景，提出了一种基于视觉显著性的分层目标检测方法。
8·It is found that the inspection result is accordant with the practice by and large after data processing and image interpretation.
经数据处理和图像解释，发现检测结果与实际情况基本一致。
9·Abstract: the scene information existing in high resolution remote sensing images is important for image interpretation and understanding of the real world.
摘要：高解析度遥感影像中的场景资讯，对于影像解译和现实世界的理解具有重要意义。
10·Image interpretation is an important part of computer vision, which is related to many fields such as image processing, classifier designing and logic reasoning.
图象解释是计算机视觉的重要组成部分，它涉及图象处理、分类器设计和逻辑推理等许多领域。