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【1】The data used in our experiments were collected by Vision Group, University of Massachusetts.【2】We used to classify the image.【3】The instances were drawn randomly from a database of 7 outdoor images. The images were hand segmented to create a classification for every pixel. Each instance is a 3x3 region. Number of Attributes has 19 continuous attributes, each attribute can describes as region-centroid-col、region-centroid-row、region-pixel-count、short-line-density-5、short-line-density-2、 vedge-mean、vegde-sd、hedge-mean、hedge-sd、intensity-mean、rawred-mean、rawblue-mean、rawgreen-mean、exred-mean、exblue-mean、exgreen-mean、value-mean、saturatoin-mean、hue-mean.【4】The database has 2310 samples, respectively belong to training with 210 samples and testing with 2100 samples. The categories of network system include seven categories, as shown in Table 1.
|Invasion||Training||Testing||Total Number of Samples|
|Total number of samples in total||210||2100||2310|