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SIFT
一种基于SIFT的图像配准方法,目前使用最广泛的一种配准方法。性能优。(One kind SIFT image registration method based on the most widely used kind of registration method. Excellent performance.)
- 2017-03-16 12:22:22下载
- 积分:1
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RSFoBa-Demo
一种效果比较好的高光谱解混算法,模拟数据以及真实数据的实验都在,直接可以跑。(An effect good hyperspectral unmixing algorithm, experimental simulation data and real data are in, you can directly run.)
- 2016-04-20 16:12:39下载
- 积分:1
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卷积特征可视化
说明: 利用卷积神经网络进行特征提取,并将卷积特征可视化(Feature extraction using convolutional neural networks and visualization of convolution features)
- 2019-03-06 12:07:28下载
- 积分:1
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xinhaochuli
近期成果,与大家分享:奇异值分解、小波降噪、zoom细化 谱峭度 和滤波器设计,共勉(Recent achievements to share with you: singular value decomposition, wavelet noise reduction, zoom refined spectral kurtosis and filter design, encouragement)
- 2013-10-10 10:26:51下载
- 积分:1
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freadbk
说明: 用于读取SAR数据处理中的干涉图和SAR强度图的函数,可以制定具体大小进行读取。(The functions used to read the interferograms and SAR intensity diagrams in SAR data processing can be read by specific sizes.)
- 2021-03-27 19:19:11下载
- 积分:1
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houghtuoyuan3
利用霍夫变换进行椭圆检测,无需模板,不同的图片只需要更改个别参数(Ellipse detection using Hough transform, without templates, a different picture only need to change individual parameters)
- 2013-08-26 09:34:49下载
- 积分:1
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functions
图像阈值分割,基于matlab的二维Renyi熵算法的灰度图像分割(Image threshold segmentation, matlab based two- dimensional Renyi entropy algorithm gray- scale image segmentation)
- 2017-05-07 20:47:02下载
- 积分:1
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点云数据(圆柱面)
点云数据(圆柱面)
- 2020-06-06下载
- 积分:1
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phase-history-domain
任意航迹下单块的基于相位历史域的波前弯曲补偿算法(Single block of arbitrary Track bending compensation algorithm based on wavefront phase history domain)
- 2012-10-22 12:36:04下载
- 积分:1
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hsv_file
本代码主要是基于HSV的阴影检测及消除,分别提取前景及背景图像,进行色彩空间转换。HSV空间类似人类感觉色彩的方式,可以更加准确地识别阴影,并保持在计算上简单。(This code is mainly based on the HSV shadow detection and elimination, extract the foreground and the background image, respectively, for color space conversion. HSV space is similar to the ways the human feel color, can more accurately identify the shadow, and keep it simple in calculation.
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- 2013-05-27 08:27:32下载
- 积分:1