登录
首页 » matlab » Change-Detection-Code

Change-Detection-Code

于 2021-04-21 发布 文件大小:8157KB
0 208
下载积分: 1 下载次数: 278

代码说明:

  遥感影像变化检测经典算法(IR-MAD、MAD、CVA、PCA),另外进行了算法的Demo和精度等计算评价(OA、Kappa、AUC、ROC)(Remote sensing image change detection classical algorithm (IR-MAD, MAD, CVA, PCA), were additionally algorithms and calculation accuracy Demo Assessment (OA, Kappa, AUC, ROC))

文件列表:

Change Detection Code
.....................\Change Result
.....................\covw.m,2311,2016-10-31
.....................\createfigure.m,1145,2016-11-01
.....................\CVADemo.m,1314,2016-11-14
.....................\DAcom.m,4272,2016-11-15
.....................\data
.....................\....\major-TestROI.roi,35124,2016-10-28
.....................\....\Taizhou
.....................\....\.......\2000TM,960000,2012-04-25
.....................\....\.......\2000TM.HDR,1376,2012-04-25
.....................\....\.......\2003TM,960000,2012-04-25
.....................\....\.......\2003TM.HDR,1376,2012-04-25
.....................\....\.......\major-TestROI.roi,35124,2016-10-28
.....................\....\.......\TaizhouChange,160000,2016-10-31
.....................\....\.......\TaizhouChange.hdr,923,2016-10-31

.....................\....\.......\TaizhouChange_blackWhite.bpw,222,2016-10-31

.....................\....\.......\TaizhouChange_blackWhite_unchange.bpw,222,2016-11-02
.....................\....\.......\TaizhouChange_overall,160000,2016-11-02
.....................\....\.......\TaizhouChange_overall.hdr,993,2016-11-02
.....................\eigen2.m,247,2005-01-27
.....................\enviwrite.m,2147,2016-10-28
.....................\enviwrite2.m,2139,2016-10-29
.....................\freadenvi.m,3433,2016-10-18
.....................\IRMAD_Update.asv,7071,2016-11-14
.....................\IRMAD_Update.m,7275,2016-11-15
.....................\KmeansMap.m,881,2016-11-04
.....................\MADGet.m,4120,2016-11-15
.....................\PCA.m,1683,2016-09-28
.....................\PCADemo.m,910,2016-11-14
.....................\Test result

.....................\...........\All Bands CCA EigValues Tendency 10 Iterations_Taizhou.fig,9238,2016-11-01

.....................\...........\All Bands CCA EigValues Tendency 30 Iterations_Taizhou.fig,9716,2016-11-01

.....................\...........\All Bands CCA EigValues Tendency 50 Iterations_Taizhou.fig,8128,2016-11-01

.....................\...........\All Bands CCA EigValues Tendency 70 Iterations_Nanjing.fig,11631,2016-11-03

.....................\...........\All Bands CCA EigValues Tendency 90 Iterations_Nanjing.fig,10115,2016-11-03
.....................\...........\NanjingChange_110_iterations_ChangeInageWeight_first.tif,636188,2016-11-03
.....................\...........\NanjingChange_110_iterations_ChangeInageWeight_last.tif,358552,2016-11-03
.....................\...........\NanjingChange_110_iterations_ChangeInageWeight_original.tif,11934,2016-11-03
.....................\...........\NanjingChange_50_iterations_ChangeInageWeight_first.tif,636188,2016-11-03
.....................\...........\NanjingChange_50_iterations_ChangeInageWeight_last.tif,363748,2016-11-03
.....................\...........\NanjingChange_50_iterations_ChangeInageWeight_original.tif,11934,2016-11-03
.....................\...........\NanjingChange_70_iterations_ChangeInageWeight_first.tif,636188,2016-11-03
.....................\...........\NanjingChange_70_iterations_ChangeInageWeight_last.tif,360154,2016-11-03
.....................\...........\NanjingChange_70_iterations_ChangeInageWeight_original.tif,11934,2016-11-03
.....................\...........\NanjingChange_90_iterations_ChangeInageWeight_first.tif,636188,2016-11-03
.....................\...........\NanjingChange_90_iterations_ChangeInageWeight_last.tif,358552,2016-11-03
.....................\...........\NanjingChange_90_iterations_ChangeInageWeight_original.tif,11934,2016-11-03
.....................\...........\Nanjing_Kmeans TwoValue DifferImage.bmp,641078,2016-11-03
.....................\...........\Nanjing_Kmeans_test_TwoValue DifferImage.bmp,641078,2016-11-03
.....................\...........\TaihzoutestChang_MAD_Intensity_Image.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_10_iterations_ChangeInageWeight_first.tif,160610,2016-11-01
.....................\...........\TaizhouChange_10_iterations_ChangeInageWeight_last.tif,129324,2016-11-01
.....................\...........\TaizhouChange_10_iterations_ChangeInageWeight_original.tif,3558,2016-11-01
.....................\...........\TaizhouChange_30_iterations_ChangeInageWeight_first.tif,160610,2016-11-01
.....................\...........\TaizhouChange_30_iterations_ChangeInageWeight_last.tif,124982,2016-10-31
.....................\...........\TaizhouChange_30_iterations_ChangeInageWeight_original.tif,3558,2016-11-01
.....................\...........\TaizhouChange_50_iterations_band1.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_50_iterations_band2.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_50_iterations_band3.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_50_iterations_band4.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_50_iterations_band5.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_50_iterations_band6.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_50_iterations_ChangeInageWeight_first.tif,160610,2016-11-02
.....................\...........\TaizhouChange_50_iterations_ChangeInageWeight_last.tif,124296,2016-11-01
.....................\...........\TaizhouChange_50_iterations_ChangeInageWeight_original.tif,3558,2016-11-01
.....................\...........\TaizhouChange_50_iterations_ChangeInage_weight_first.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_50_iterations_ChangeInage_weight_last.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_50_iterations_ChangeInage_weight_original.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_50_iterations_ROC.bmp,236278,2016-11-03
.....................\...........\TaizhouChange_50_iterations_ROC.fig,149180,2016-11-03
.....................\...........\TaizhouChange_70_iterations_ChangeInageWeight_first.tif,160610,2016-11-01
.....................\...........\TaizhouChange_70_iterations_ChangeInageWeight_last.tif,124296,2016-11-01
.....................\...........\TaizhouChange_70_iterations_ChangeInageWeight_original.tif,3558,2016-11-01
.....................\...........\TaizhouChange_Intensity_Image.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_MAD_ChangeInage_weight_last.bmp,161078,2016-11-04
.....................\...........\TaizhouChange_MAD_ROC.bmp,236278,2016-11-04
.....................\...........\TaizhouChange_MAD_ROC.fig,151167,2016-11-04
.....................\...........\TaizhouChange_MAD_ROC_001.bmp,236278,2016-11-04
.....................\...........\TaizhouChange_MAD_ROC_001.fig,151172,2016-11-04
.....................\...........\TaizhouChange_MAD_ROC_002.bmp,236278,2016-11-04
.....................\...........\TaizhouChange_MAD_ROC_002.fig,151359,2016-11-04
.....................\...........\Taizhou_Kmeans TwoValue DifferImage.bmp,161078,2016-11-03
.....................\...........\Taizhou_Kmeans_MAD_TwoValue DifferImage.bmp,161078,2016-11-14
.....................\...........\Taizhou_Kmeans_test_TwoValue DifferImage.bmp,161078,2016-11-04

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

  • tai_daopu
    对图像加模糊,并用倒谱法实现对所得模糊图像的模糊参数估计(Additive fuzzy image, and cepstral method from fuzzy images of the fuzzy parameter estimation)
    2020-11-19 18:39:37下载
    积分:1
  • Chapter-12-Factor-Analysis
    因子分析,有实例,推荐测试,下载。科学输出处理必备!(Factor analysis, there are examples of recommended tests, download. Scientific output processing necessary!)
    2013-10-05 09:50:12下载
    积分:1
  • Wiener
    设计一维纳滤波器 (1)产生三组观测数据:首先根据s(n)=a s(n-1)+w(n)产生信号s(n),将其加噪(信噪比分别为20dB,10 dB,6 dB),得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n),i=1,2,3的AR模型参数。假设信号长度为L,AR模型阶数为N,分析实验结果,并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)
    2013-11-26 21:53:25下载
    积分:1
  • dct1_embed
    Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]
    2012-03-31 23:41:52下载
    积分:1
  • newproject
    this code first reads an image and decomposed it in discrete wavelet transformation.hl1 and hl2 are extracted to embed watermark. watermark is added to hl1 and lh1 and inverse dwt is applied.
    2010-05-14 16:23:31下载
    积分:1
  • kalman
    本程序为用matlab对kalman滤波进行目标跟踪的应用仿真的程序代码(The procedures for the use of matlab kalman filter for target tracking application simulation program code)
    2013-07-20 09:30:11下载
    积分:1
  • valor_medio1.m
    mid termd method maatlab
    2012-01-26 20:31:03下载
    积分:1
  • Romberg
    使用Matlab语言完成《数值计算方法》中的Romberg(龙贝格)积分公式,程序可以根据用户输入的积分上下限、误差容限及表达式实现Romberg积分。(Using Matlab language to complete " numerical methods" in the Romberg (Romberg) integral formula, the program based on user input limits of integration, error tolerance and expression implementations Romberg integration.)
    2013-08-14 17:12:01下载
    积分:1
  • ps0_ann.m
    This code is used for the load forecasting of the electricity system by using ANN and PSO. Hoping it can help those who are doing this area. (This code is used for the load forecasting of the electricity system by using ANN and PSO. Hoping it can help those who are doing this area.)
    2014-12-16 13:46:48下载
    积分:1
  • matlab
    Matlab 仿真技术与应用 MATLAB 是一个工程和科学计算软件,融科学计算、数据图形可视化、信息 处理于一体,广泛应用于数理统计、动态系统仿真、自动控制、信号处理、模拟 与数字通信、模式识别、动力工程、电力系统、雷达与声纳工程等学科领域。本 研究生公共实验课程主要面向全校各专业的研究生。通过统计和评估全校各个专 业上课频率的基础上,制定了该实验教材的综合实验内容,主要包括四个部分, 由上课的四位老师进了实验的编制工作。(Matlab simulation using MATLAB is an engineering and scientific computing software, financial scientific computing, data graphical visualization, information Processing in one widely used in mathematical statistics, dynamic system simulation, automatic control, signal processing, analog Digital communication, pattern recognition, power engineering, power systems, radar and sonar engineering disciplines. This Graduate experimental courses primarily for graduate students in the whole school. Each designed by statistics and assess the whole school Industry on the basis of attendance frequency, the development of a comprehensive experimental content of the experimental teaching materials, consists of four main parts, By four teachers of the school into the preparation of the experiment.)
    2012-11-19 19:01:42下载
    积分:1
  • 696518资源总数
  • 105873会员总数
  • 12今日下载