登录
首页 » matlab » Remote-Sensing-Image-Classification

Remote-Sensing-Image-Classification

于 2013-08-24 发布 文件大小:7445KB
0 253
下载积分: 1 下载次数: 71

代码说明:

  1. 图像二值化 2. 边界跟踪,去除离散点 3. 边界提取 4. 删除短边 5. 区分河流与道路 先找到桥梁,利用桥梁上的种子点 对道路进行跟踪,从而提取整条主干道。 (1 image binarization 2boundary tracking, removal of discrete points 3 boundary extraction 4 Remove the short side 5 distinguish rivers and roads the curvature is too large) First find the bridge, the bridge on the use of seed points on the road to follow, thereby extracting the whole trunk.)

文件列表:

数字图像处理考试资料
....................\DIA实验的图.ppt,968192,2007-06-07
....................\Graph Cuts
....................\..........\block.h,8191,2005-07-21
....................\..........\Debug
....................\..........\.....\vc60.idb,33792,2007-06-21
....................\..........\.....\vc60.pdb,36864,2007-06-21
....................\..........\DIA实验的图.ppt,968192,2007-06-07
....................\..........\energy.h,9091,2005-07-21
....................\..........\GCoptimization.cpp,59911,2006-12-12
....................\..........\GCoptimization.h,22673,2006-12-11
....................\..........\gc_example.asv,2952,2013-06-13
....................\..........\gc_example.m,2952,2013-06-13
....................\..........\GC_README.txt,26859,2006-12-13
....................\..........\graph.cpp,10869,2006-12-18
....................\..........\graph.h,8717,2006-12-18
....................\..........\GraphCut.cpp,644,2006-12-18
....................\..........\GraphCut.h,2105,2006-12-18
....................\..........\GraphCut.m,11393,2007-05-01
....................\..........\GraphCutConstr.cpp,4758,2006-12-18
....................\..........\GraphCutConstr.ilk,66384,2006-12-18
....................\..........\GraphCutConstr.mexa64,153177,2006-12-18
....................\..........\GraphCutConstr.mexglx,131031,2006-12-18
....................\..........\GraphCutConstr.mexw32,77899,2006-12-18
....................\..........\graphcutconstr.pdb,233472,2006-12-18
....................\..........\GraphCutMex.cpp,16635,2006-12-18
....................\..........\GraphCutMex.ilk,68476,2006-12-18
....................\..........\GraphCutMex.mexa64,159828,2006-12-18
....................\..........\GraphCutMex.mexglx,136766,2006-12-18
....................\..........\GraphCutMex.mexw32,77896,2006-12-18
....................\..........\graphcutmex.pdb,233472,2006-12-18
....................\..........\hs_err_pid316.log,13862,2007-05-03
....................\..........\LenaRGB.tif,792056,2004-09-28
....................\..........\LICENSE.TXT,18349,2005-05-09
....................\..........\LinkedBlockList.cpp,1453,2005-08-25
....................\..........\LinkedBlockList.h,1765,2005-07-21
....................\..........\main.cpp,4029,2007-04-25
....................\..........\main.dsp,3377,2007-04-25
....................\..........\main.dsw,533,2007-04-25
....................\..........\main.ncb,41984,2007-06-21
....................\..........\main.opt,54784,2007-06-21
....................\..........\main.plg,1566,2007-06-21
....................\..........\maxflow.cpp,20816,2005-07-21
....................\..........\PlotLabels.m,348,2007-05-03
....................\..........\SpatialCues.m,606,2007-06-21
....................\..........\tmwtypes.h,11401,2007-04-25
....................\..........\ToVector.m,315,2007-06-21
....................\..........\实验报告.doc,324096,2013-06-12
....................\..........\实验数据
....................\..........\........\1线状物提取


....................\..........\........\2遥感图象分类
....................\..........\........\.............\2A





....................\..........\........\.............\..\N2.bmp,66614,2007-06-07
....................\..........\........\.............\..\N3.bmp,66614,2007-06-07
....................\..........\实验课(仅作参考).ppt,2247168,2007-06-23
....................\实验数据
....................\........\1线状物提取


....................\........\2遥感图象分类
....................\........\.............\2A





....................\........\.............\..\N2.bmp,66614,2007-06-07
....................\........\.............\..\N3.bmp,66614,2007-06-07
....................\实验课(仅作参考).ppt,2249216,2007-06-23

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • LevelSetMethods
    Level Set Based Image Segmentation
    2010-11-02 06:28:40下载
    积分:1
  • Chp6ex13
    this source code is chp6ex13 matlab
    2013-08-04 15:23:53下载
    积分:1
  • c2gm0
    改程序描述了从WGS84坐标系转换为大地坐标系的程序转换,该实验对学习卫星导航的人来说,很有用(the program is about the algorithm of conviter from WGS84 to HBL)
    2012-06-15 16:30:28下载
    积分:1
  • cloud
    云发生器 能方便的把数据聚类 在matlab上实现,很方便。(Generator can easily cloud the data clustering in matlab to achieve, it is convenient.)
    2011-08-25 11:15:02下载
    积分:1
  • MATLAB_programming_tutorial_method_of_shortcut_key
    MATLAB程序设计教程之快捷键设置方法MATLAB programming tutorial method of shortcut keys(MATLAB programming tutorial set shortcut method of MATLAB programming tutorial method of shortcut keys)
    2010-08-02 12:03:22下载
    积分:1
  • Classification_toolbox
    说明:  分类工具箱分类工具箱分类工具箱分类工具箱(Toolbox Toolbox Category Category Category Category Toolbox Toolbox)
    2010-04-28 15:41:30下载
    积分:1
  • Corporate-profits-reasonable-use
    运用幂法求解矩阵的最大特征值、特征向量、一致性指标和随机一致性比率。 (Using the power method to solve the largest eigenvalue matrix, eigenvector, consistency index and random consistency ratio.)
    2011-05-12 17:27:50下载
    积分:1
  • LEACH-Protocol-in-OmnetPP.wsnlab.ir
    LEACH Protocol in Omnet++.rar
    2014-08-25 23:07:43下载
    积分:1
  • ofdm
    Basic OFDM codes are added here
    2013-12-02 15:28:11下载
    积分:1
  • MATLABfangzhen
    《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章,第1、2章为辨识的基本概念、理论基础和古典辨识方法;第3至6章为现代辨识内容,其中第3章是最小二乘参数辨识,第4章是梯度校正参数辨识,第5章是极大似然法的参数辨识方法,第6章是自适应参数辨识;第7、8章为复杂的非线性系统的智能辨识和混沌辨识,其中第7章是非线性系统的神经网络辨识;第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章,各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)
    2013-06-04 14:28:55下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载