Description: 针对遥感影像的光谱信息进行分类，并评价分类精度。但需要人为调整数组的大小，来控制输入变量，将训练样本和检验样本存为.txt格式的文件，执行即可得到分类后属于各个类别的概率，以及混淆矩阵。-Spectral imaging for remote sensing information classification, and to evaluate the classification accuracy. However, the need to artificially adjust the size of the array to control input variables, the training samples and the samples tested for the depositors. Txt files, the implementation can be sorted and the probability of belonging to each category, as well as the confusion matrix. Platform: |
Size: 347136 |
Author:Una |
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Description: 遥感影像分类后精度评价C++程序，主要是通过混淆矩阵，包括生成者精度，用户精度。-Remote sensing image classification accuracy assessment after C++ program, mainly through the confusion matrix, including generators accuracy, user accuracy. Platform: |
Size: 253952 |
Author:peterson10 |
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Description: This file displays the Confusion matrix, which is always used to show the error according to each class. Platform: |
Size: 1024 |
Author:sheffield |
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Description: 在图像精度评价中，主要用于比较分类结果和实际测得值，可以把分类结果的精度显示在一个混淆矩阵里面。混淆矩阵是通过将每个实测像元的位置和分类与分类图像中的相应位置和分类像比较计算的。-In the image to uate the accuracy, mainly for comparison of classification results and the actual measured value, the accuracy of the classification results are displayed in a confusion matrix inside. The confusion matrix is measured by each pixel position and image classification and classification in the appropriate location and classified as comparative calculations. Platform: |
Size: 1024 |
Author:晁凤云 |
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Description:
This code is designed for two or more classes instance confusion matrix formation and Calclating
1acuuracy
2.error
3.Sensitivity (Recall or True positive rate)
4.Specificity
5.Precision
6.FPR-False positive rate
7.F_score
8.MCC-Matthews correlation coefficient
9.kappa-Cohen s kappa
Run demo.m for proof and demo
Developer Er.Abbas Manthiri S
Date 25-12-2016
Mail Id: abbasmanthiribe@gmail.com
Coding is based on attached reference
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This code is designed for two or more classes instance confusion matrix formation and Calclating
1acuuracy
2.error
3.Sensitivity (Recall or True positive rate)
4.Specificity
5.Precision
6.FPR-False positive rate
7.F_score
8.MCC-Matthews correlation coefficient
9.kappa-Cohen s kappa
Run demo.m for proof and demo
Developer Er.Abbas Manthiri S
Date 25-12-2016
Mail Id: abbasmanthiribe@gmail.com
Coding is based on attached reference
Platform: |
Size: 585728 |
Author:Abbas |
Hits:
Search - confusion matrix