Description: 本程序是雷达SAR图像算法的经典程序集合，包含波数域算法，RD算法和CS算法，对于学习SAR成像非常有帮助-This procedure is a SAR radar image of the classic algorithm collection procedures, including the wave number domain algorithm, RD algorithm and CS algorithm for SAR imaging study very helpful Platform: |
Size: 5120 |
Author:于鹏 |
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Description: sar原始数据,CEOS格式,数据比较大,分几部分上传,是合成孔径雷达成像原理与算法一书提供的.-sar raw data, CEOS format, data comparison, and in several parts upload is synthetic aperture radar imaging principle and the algorithm provided by First Book. Platform: |
Size: 2048 |
Author:寒露 |
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Description: 许多应用PET 与fMRI 技术的脑功能成像研究发现,数字加工任务会显著引起前运动皮质的激活。习惯上认为,这一
结果可能与任务执行过程中的动作反应,如手指按键、默读或眼动等有关。近年来的研究则表明,这一区域不仅具有动作功能,
同时也具有其它非动作的认知功能。在本研究中,对17 篇关于数字加工的脑功能成像研究进行了元分析,以考察前运动皮质在
数字加工中的作用。研究结果发现,运动前区的背外侧( PMd) 与腹外侧( PMv) 在大多数数字加工任务中有显著激活,而运动辅
助区(SMA) 的激活则相对较少。数字比较、加法与减法任务在PMd 区域有更多的激活,而乘法任务则在PMv 区域有更多激活。
数字自身特征对PMd、PMv 与SMA 喙部区域的激活有显著的调节作用。这一结果表明,前运动皮质在数字加工过程中可能扮
演着比动作反应更为重要的角色。-Many applications, PET and fMRI brain imaging technology study found that a significant number processing tasks are likely to cause the activation of premotor cortex. Customary to believe that the
The results may be related to task execution in the process of movement reaction, such as the finger buttons, silent reading, or other related eye movements. In recent years, studies suggest that this region not only motor function,
At the same time also has other non-cognitive action. In this study, pairs of 17 on digital processing of functional imaging studies of brain meta-analysis to examine pre-motor cortex in the
The role of digital processing. The results found that the dorsolateral premotor area (PMd) and ventral (PMv) in the majority of number processing tasks significantly activated, while the sports-fu
To help area (SMA) activation were relatively small. In comparison, addition and subtraction tasks in PMd region more activated, while the multiplication task in the PMv Platform: |
Size: 132096 |
Author:罗朝辉 |
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Description: 对于水下地形海洋SAR探测有兴趣的读者可以来看看，对你会有帮助的。-1998，Comparison of two models for the imaging mechanism of underwater bottom topography by synthetic aperture radar Platform: |
Size: 336896 |
Author:JQZHU |
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Description: 结合多尺度信息,采用小波分解对医学影像进行边缘检测,通过试验与其他方法进行分析与比较,证
明此方法在医学图像边缘检测中是切实可行的。-Combining multi-scale information, using wavelet decomposition on edge detection of medical imaging tests and other methods, through the analysis and comparison, the card
Ming this method in medical image edge detection is feasible Platform: |
Size: 148480 |
Author:arweak |
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Description: 后向投影( BP) 算法论文,提出了一种快速后向投影( FBP) 算法。以点目标和多点
目标为例,将该算法应用于超宽带合成孔径雷达成像并与原始( BP)成像算法进行比较.-Backward projection (BP) algorithm paper presents a fast backward projection (FBP) algorithm. Point to the target and multi-point target, for example, the algorithm is applied to ultra-wideband synthetic aperture radar imaging with the original (BP) imaging algorithm for comparison. Platform: |
Size: 418816 |
Author:chinaafxp |
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Description: 不同的窗口加权函数得到的雷达成像效果不同，在此进行对比。-Different effects of different radar imaging window weighting function obtained in this comparison. Platform: |
Size: 11061248 |
Author:朱海兵 |
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Description: First in a series
This lesson is the first lesson in a new series intended to teach you how to use Java to create special effects with images by directly
manipulating the pixels in the images.
Not a lesson on JAI
If you arrived at this lesson while searching for instructions on how to use the Java Advanced Imaging (JAI) API, you are certainly welcome to
be here. However, that is not the purpose of the lessons in this series. (Maybe I will write a series on that topic later.) The purpose of this
series is to get right down in the mud and to learn how to implement many of the algorithms that are commonly used to create special effects
with images by working directly with the pixels.
Manipulate pixels directly and individually
In this lesson, I will provide and explain a program that makes it easy to:
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Manipulate and modify the pixels that belong to an image
Display the modified image along with the original image for easy comparison in abefore and after sense Platform: |
Size: 599040 |
Author:yogesh |
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Description: 关于探地雷达目标成像算法的一篇非常详细的英文硕士论文，包含非常详细的基础知识介绍，附录包含全部MATLAB代码，非常适合新手学习阅读-A Comparison of Imaging Methods using GPR for Landmine Detection and A Preliminary Investigation into the SEM for Identification of Buried Objects Platform: |
Size: 1256448 |
Author:dong liming |
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Description: 本文是计算机视觉的重要分支——计算成像的相关综述性文章，文章对于计算成像中的DFD/DFF技术与立体视觉技术进行了详细的对比。-This article is a comprehensive review of the computational imaging, which is an important branch of the computer vision. This article includes thorough insight on the comparison between DFF/DFD and stereo. Platform: |
Size: 267264 |
Author:Mucci Shaw |
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Description: 相干与非相干成像系统的比较。复习光学传递函数OTF的概念，以及该函数与相干传递函数CTF的关系。用OTF完成单透镜系统成像的计算。-The comparison of coherent and incoherent imaging system.Review the concept of OTF, optical transfer function and the function relations with CTF coherent transfer function.Complete the single lens imaging system with OTF calculation. Platform: |
Size: 55296 |
Author:huyidu |
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Description: 比较了软阈值，硬阈值及当今各种阈值计算方法,合成孔径雷达（SAR)目标成像仿真，使用高阶累积量对MPSK信号进行调制识别。- Comparison of soft threshold and hard threshold and today various threshold calculation method, Synthetic Aperture Radar (SAR) imaging simulation target, Using high-order cumulants of MPSK signal modulation recognition. Platform: |
Size: 8192 |
Author:孙明涛 |
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Description: Portal images are acquired by electronic portal imaging devices (EPID) with megavoltage (MV)
x-ray, but they are inherently poor in terms of contrast, due to Compton Effect. In comparison with
diagnostic x-ray images, portal images usually lack sufficient detail information for normal human
vision. Therefore, an effective method of enhancing these images would be very useful. This paper
proposes a new approach that combines global and local enhancement technique Platform: |
Size: 2709504 |
Author:杨松 |
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Description: The estimation of the homography between two views is a key step in many applications involving multiple view geometry. The homography exists between two views between projections of points on a 3D plane. A homography exists also between projections of all points if the cameras have purely rotational motion. A number of algorithms have been proposed for the estimation of the homography relation between two images of a planar scene. They use features or primitives ranging from simple points to a complex ones like non-parametric curves. Different algorithms make different assumptions on the imaging setup and what is known about them. This article surveys several homography estimation techniques from the literature. The essential theory behind each method is presented briefly and compared with the others. Experiments aimed at providing a representative analysis and
comparison of the methods discussed are also presented in the paper Platform: |
Size: 141312 |
Author:加菲631
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Description: 实现TV、TGV等各种流行成像方法，并有不同指标的对比(TV, TGV and other popular imaging methods, and the comparison of different indicators) Platform: |
Size: 942080 |
Author:wsjwsj
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Description: 模拟传统远场光学显微成像过程，方便与超分辨成像技术相互比较(The traditional far-field optical microscopic imaging process is simulated to facilitate the comparison with super resolution imaging technology.) Platform: |
Size: 1024 |
Author:牛鱼 |
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Search - imaging comparison