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Description: A line idw code ,can read and download.
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Size: 1366 |
Author: cc |
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Description: 基于idw的插值算法 C++ 使用于2维和3维插值
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Size: 1545 |
Author: 349286347@qq.com |
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Description: 从资源文件中，载入音声，图片等，并播放声音，或者显示
HINSTANCE h=AfxGetInstanceHandle()
HRSRC hr=FindResource(h,"IDW","WAVE")
HGLOBAL hg=LoadResource(h,hr)
LPSTR lp=(LPSTR)LockResource(hg)
sndPlaySound(lp,SND_MEMORY|SND_ASYNC)
FreeResource(hg)
return 0 -From the resource document, loading voice, pictures, etc., and to play a sound, or show HINSTANCE h = AfxGetInstanceHandle () HRSRC hr = FindResource (h, IDW , WAVE ) HGLOBAL hg = LoadResource (h, hr) LPSTR lp = (LPSTR) LockResource (hg) sndPlaySound (lp, SND_MEMORY | SND_ASYNC) FreeResource (hg) return 0
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Size: 309248 |
Author: Joey |
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Size: 1126400 |
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Description: 一个简单的使用IDW和RBF算法对图像（只支持bmp格式）进行变形的MFC程序，可以当作图像处理入门时的练习参考。-A simple algorithm using the IDW and RBF image (bmp format only) to the deformation of the MFC process, image processing can be used as entry to practice at the time of reference.
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Size: 78848 |
Author: maxint |
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Description: A line idw code ,can read and download.
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Size: 1024 |
Author: cc |
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Description: 添加CDib类，用IDW算法和RBF算法实现ImageWarping-Add CDib categories, with IDW algorithm and RBF algorithm ImageWarping
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Size: 78848 |
Author: huiwang |
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Description: idw Inverse distance Interpolation help documents
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Size: 51200 |
Author: agelos |
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Description: 实现反距离加权平均插值算法-to fulfill idw Algorithm
have a good luck!
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Size: 1126400 |
Author: dww |
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Description: IDW（距离权倒数插值法）是空间插值中最常用的插值方法之一。本程序基于MATLAB开发，功能齐全，希望用得开心。-IDW (interpolation from the bottom right) is the most commonly used spatial interpolation of the interpolation methods. The program is based on MATLAB development, full-featured, in the hope joy.
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Size: 1024 |
Author: yang |
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Description: 反距离权(IDW)插值法是基于相近相似的原理-Inverse Distance Weighted (IDW) interpolation method is based on similar principles similar to
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Size: 5120 |
Author: max_jie |
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Description: IDW方法和RBF方法 用CDIB图像类实现Image warping -IDW method and RBF methods with CDIB image class implementation Image warping
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Size: 2279424 |
Author: 陈婉 |
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Description: IDW距离反比加权方法，权重选择为2，可根据需要自己改变-IDW inverse distance weighting, the weight chosen as 2, can be changed according to need their own
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Size: 168960 |
Author: 糊涂虎 |
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Description: idw 反距离权重插值，直接在程序中调用即可-idw inverse distance weighted interpolation, you can call directly in the program
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Size: 58368 |
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Description: C#+AE编译，实现的arcgis中经典的三类插值方法，克里格，IDW和样条曲线，导入点状shp文件，选择相应插值方法即可-C#+ AE compiled arcgis achieved in the classic three interpolation methods, Kriging, IDW and spline curves, dotted shp file import, you can select the appropriate interpolation
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Size: 684032 |
Author: tiansong |
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Description: idw算法，很不错啊仔细看看，关于制作三维的地图什么的不错的选择-idw algorithm, very nice closer look, on the production of three-dimensional map of what a good choice
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Size: 4096 |
Author: xuke |
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Description: 基于距离权重反比法的空间插值程序，程序比较好读懂，，简单-Method based on inverse distance weighted spatial interpolation procedure, the program is better read, and simple
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Size: 1024 |
Author: |
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Description: IDW插值法，距离倒数乘方格网化方法是一个加权平均插值法，可以进行确切的或者圆滑的方式插值。方次参数控制着权系数如何随着离开一个格网结点距离的增加而下降。对于一个较大的方次，较近的数据点被给定一个较高的权重份额，对于一个较小的方次，权重比较均匀地分配给各数据点。 计算一个格网结点时给予一个特定数据点的权值与指定方次的从结点到观测点的该结点被赋予距离倒数成比例。当计算一个格网结点时，配给的权重是一个分数，所有权重的总和等于1.0。当一个观测点与一个格网结点重合时，该观测点被给予一个实际为 1.0 的权重，所有其它观测点被给予一个几乎为 0.0 的权重。换言之，该结点被赋给与观测点一致的值。这就是一个准确插值。 距离倒数法的特征之一是要在格网区域内产生围绕观测点位置的"牛眼"。用距离倒数格网化时可以指定一个圆滑参数。大于零的圆滑参数保证，对于一个特定的结点，没有哪个观测点被赋予全部的权值，即使观测点与该结点重合也是如此。圆滑参数通过修匀已被插值的格网来降低"牛眼"影响。 -Inverse Distance to a Power
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Size: 159744 |
Author: yueyunjuan |
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Description: 反距离加权插值，即IDW(Inverse Distance Weight) ，也可以称为距离倒数乘方法。是指距离倒数乘方格网化方法是一个加权平均插值法，可以进行确切的或者圆滑的方式插值。方次参数控制着权系数如何随着离开一个格网结点距离的增加而下降。对于一个较大的方次，较近的数据点被给定一个较高的权重份额，对于一个较小的方次，权重比较均匀地分配给各数据点。(Inverse distance weighted interpolation, IDW (inverse distance weight) [1], can also be called inverse distance multiplication method. It is a weighted average interpolation method, which can be used for precise or smooth interpolation. The square parameter controls how the weight coefficient decreases with the distance from a grid node. For a larger power, the nearest data points are given a higher weight share, and for a smaller power, the weight is evenly distributed to each data point.)
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Size: 157696 |
Author: dyy12 |
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