• 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • The classification result of the object-oriented method will substantially improve the efficiency and accuracy of both in-door image interpretation and field investigation.

    分类成果能有效辅助内、外业影像解译,提高影像调绘效率,在全国第二次土地调查工作中具有较高的推广应用价值。

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  • The infrared theodolite plays an important role in shooting range monitoring, and the video image interpretation directly affects the measurement precision of the infrared theodolite.

    红外经纬仪在海上靶场测控中有重要作用,对红外视频图像的判读直接影响红外经纬仪的测角精度。

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  • In this paper, both boundary extraction and image interpretation aspects are mainly studied, and an experimental prototype system is set up for ultrasound image assistant interpretation.

    本文围绕着边界提取和图像解释这两个中心问题进行了研究,建立了超声图像计算机辅助解释实验原型系统。

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  • Initial studies have shown that expert system can not only improve forest image interpretation but also present a new idea to develop expert system for remotely sensed image interpretation.

    初步试验表明,本系统可提高森林分类精度,并为用遥感图像进行森林分类的专家系统的开发提供了一种思路。

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  • Aimed at SAR image interpretation, SVM shows good performance in image filtering, image segmentation, target discrimination and classification, as well as polarimetric SAR data classification.

    针对SAR图像解译,SVM在图像滤波、图像分割、目标识别与分类、极化数据分类等过程中有很好的处理能力。

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  • The land use information is accurately and timely obtained by combining the traditional remotely sensed image interpretation and man-machine interactive land resource remotely sensing interpretation.

    结合传统遥感解译与人机交互式土地资源遥感解译的方法,快速、准确、及时从遥感影像上获取土地利用信息。

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  • 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。

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  • The speckle noises of SAR images make the image-interpretation complicated, and deteriorate the effectiveness of classification and information extraction procedures.

    SAR图像斑点噪声使图像解译变得复杂,并降低了图像分类和信息提取的有效性。

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  • The speckle noises of SAR images make the image-interpretation complicated, and deteriorate the effectiveness of classification and information extraction procedures.

    SAR图像斑点噪声使图像解译变得复杂,并降低了图像分类和信息提取的有效性。

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