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Daima

于 2020-08-11 发布 文件大小:19501KB
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下载积分: 1 下载次数: 86

代码说明:

  遥感图像处理源代码,包括遥感影像读入、几何校正、影像重采样等等(Remote sensing image processing code)

文件列表:

Demo
....\debug
....\.....\Demo.exp,10312,2011-12-14
....\.....\Demo.ilk,2042180,2011-12-14
....\.....\Demo.lib,17250,2011-12-14
....\.....\gdal19.dll,7037952,2012-12-03
....\Demo
....\....\ChangeDlg.cpp,1835,2013-01-07
....\....\ChangeDlg.h,572,2013-01-07
....\....\Debug
....\....\.....\ChangeDlg.obj,32093,2013-01-12
....\....\.....\CL.read.1.tlog,59352,2013-01-12
....\....\.....\CL.write.1.tlog,6916,2013-01-12
....\....\.....\Demo.exe,444416,2013-01-12
....\....\.....\Demo.exe.embed.manifest,667,2013-01-12
....\....\.....\Demo.exe.embed.manifest.res,732,2013-01-12
....\....\.....\Demo.exe.intermediate.manifest,381,2013-01-12
....\....\.....\Demo.exp,70284,2013-01-12
....\....\.....\Demo.ilk,2599100,2013-01-12
....\....\.....\Demo.lastbuildstate,56,2013-01-12
....\....\.....\Demo.lib,115714,2013-01-12
....\....\.....\Demo.log,12763,2013-01-12
....\....\.....\Demo.obj,50142,2013-01-12
....\....\.....\Demo.pch,27197440,2013-01-12
....\....\.....\Demo.pdb,4844544,2013-01-12
....\....\.....\Demo.res,33368,2013-01-12
....\....\.....\Demo.write.1.tlog,249,2013-01-12
....\....\.....\DemoDoc.obj,69645,2013-01-12
....\....\.....\DemoView.obj,46395,2013-01-12
....\....\.....\Demo_manifest.rc,204,2013-01-12
....\....\.....\GCP.obj,54380,2013-01-12
....\....\.....\GrayDisDlg.obj,33808,2013-01-12
....\....\.....\IndexDisDlg.obj,36204,2013-01-12
....\....\.....\ISODATA.obj,424975,2013-01-12
....\....\.....\LinearStrDlg.obj,33588,2013-01-12
....\....\.....\link-cvtres.read.1.tlog,2,2013-01-12
....\....\.....\link-cvtres.write.1.tlog,2,2013-01-12
....\....\.....\link.read.1.tlog,8058,2013-01-12
....\....\.....\link.write.1.tlog,2508,2013-01-12
....\....\.....\MainFrm.obj,65611,2013-01-12
....\....\.....\Mangeimge.obj,80082,2013-01-12
....\....\.....\mt.read.1.tlog,616,2013-01-12
....\....\.....\mt.write.1.tlog,446,2013-01-12
....\....\.....\MySplitterWnd.obj,19920,2013-01-12
....\....\.....\NewView.obj,43490,2013-01-12
....\....\.....\rc.read.1.tlog,3288,2013-01-12
....\....\.....\rc.write.1.tlog,446,2013-01-12
....\....\.....\RegulateDlg.obj,52930,2013-01-12
....\....\.....\ResampleMethod.obj,31879,2013-01-12
....\....\.....\RGBDisDlg.obj,36309,2013-01-12
....\....\.....\stdafx.obj,995061,2013-01-12
....\....\.....\vc100.idb,1281024,2013-01-12
....\....\.....\vc100.pdb,2199552,2013-01-12
....\....\Demo.aps,61084,2013-01-12
....\....\Demo.cpp,3375,2012-12-05
....\....\Demo.h,509,2011-12-14
....\....\Demo.rc,21755,2013-01-07
....\....\Demo.vcproj,7716,2012-01-05
....\....\Demo.vcproj.PC-201105301736.Administrator.user,1427,2012-06-23
....\....\Demo.vcproj.PC10.Administrator.user,1405,2011-12-19
....\....\Demo.vcproj.PC93.Administrator.user,1405,2012-01-05
....\....\Demo.vcproj.PC94.Administrator.user,1405,2012-01-04
....\....\Demo.vcproj.PC98.Administrator.user,1405,2011-12-26
....\....\Demo.vcproj.rgong089.Administrator.user,1413,2004-09-17
....\....\Demo.vcproj.XIAOPO.Administrator.user,1409,2011-12-14
....\....\Demo.vcxproj,8764,2012-12-28
....\....\Demo.vcxproj.filters,4623,2012-12-28
....\....\Demo.vcxproj.user,143,2012-12-04
....\....\DemoDoc.cpp,2801,2012-12-28
....\....\DemoDoc.h,709,2011-12-29
....\....\DemoView.cpp,3557,2012-12-28
....\....\DemoView.h,1348,2012-01-04
....\....\GCP.cpp,4366,2012-01-04
....\....\GCP.h,712,2011-12-13
....\....\gdal14.dll,4833352,2010-12-20
....\....\gdal15-vc8.dll,2822144,2008-04-18
....\....\gdal15d-vc8.dll,5419008,2008-04-18
....\....\gdal19.dll,7037952,2012-12-03
....\....\GrayDisDlg.cpp,1199,2011-12-14
....\....\GrayDisDlg.h,439,2011-12-11
....\....\IndexDisDlg.cpp,2517,2012-01-04
....\....\IndexDisDlg.h,464,2011-12-14
....\....\ISODATA.cpp,16022,2012-12-25
....\....\ISODATA.h,2373,2011-12-30
....\....\libpng13-vc8.dll,143360,2011-03-26
....\....\LinearStrDlg.cpp,1277,2013-01-06
....\....\LinearStrDlg.h,502,2013-01-06
....\....\MainFrm.cpp,5107,2012-01-05
....\....\MainFrm.h,1682,2012-01-05
....\....\Mangeimge.cpp,21933,2012-12-20
....\....\Mangeimge.h,1759,2012-01-05
....\....\mfc40.dll,954752,2010-08-31
....\....\mfc40u.dll,954288,2010-08-31
....\....\MySplitterWnd.cpp,602,2011-12-12
....\....\MySplitterWnd.h,603,2011-01-03
....\....\NewView.cpp,3151,2012-01-05
....\....\NewView.h,900,2012-01-04
....\....\ReadMe.txt,3358,2012-12-10
....\....\RegulateDlg.cpp,10313,2012-12-28
....\....\RegulateDlg.h,1476,2011-12-18

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    可以将256色度级的图像转化为灰度图象,挺值得新手学习一下的,希望大家能喜欢(256 chroma level images can be converted to grayscale images, very worth novice to learn about, and I hope you like)
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    积分:1
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    实现图像的滤波、锐化、边缘检测、微分处理及图像平滑(Image filtering, sharpening, edge detection, differential processing and image smoothing)
    2013-02-27 21:00:36下载
    积分:1
  • Video-Demo
    该源码为目标检测和跟踪算法 包括: 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (The source code for target detection and tracking algorithm include: 1 Static background background prediction target detection 2 Static background frame difference method for target detection 3. Mean Shift tracking method 4 multi-target tracking methods focus)
    2013-08-11 20:39:39下载
    积分:1
  • bmp
    本程序是对24位图片进行灰度化,并进行去边缘的,二值化(This program is to 24 bits images of gray, and go to the edge, binary )
    2012-01-17 08:42:59下载
    积分:1
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    直线段检测算法EDLines C++实现(EDLines C++ Opencv lins segment detection)
    2020-07-05 10:00:01下载
    积分:1
  • dicom(vc)
    论解读DICOM医学图像文件及其显示的VC++实施方法 是一份比较新的讨论dicon的vc实现方法的文章(read DICOM medical images and documents show that the implementation of the VC is a relatively new discussion di vc con method of the article)
    2007-06-22 00:20:44下载
    积分:1
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    2012-12-02 18:32:24下载
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    2010-08-23 13:34:24下载
    积分:1
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    三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低,提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准,获得较好 的点云初始位置,然后在经典 ICP 算法的基础上,采用 k - d tree 结构实现加速搜索,并利用方向向量夹角阈值去除 错误点对,提高算法的效率。实验表明,本算法流程在保证配准精度的前提下,显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)
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