private void 读入参考数据_Click(object sender, EventArgs e)
{
try
{
OpenFileDialog opf = new OpenFileDialog();
opf.Filter = "(*.txt)|*.txt";
status_text("玩命加载中 请稍等……", Color.Black);
if (opf.ShowDialog() == DialogResult.OK)
{
dis_result[0] = new discriminant_result();
string rpath = opf.FileName; //获得文件地址
StreamReader sr = new StreamReader(rpath); //打开文件
dis_result[0].model_name = sr.ReadLine().Trim();
while (!sr.EndOfStream)
{
string[] line = sr.ReadLine().Trim().Split(',', '，');
int[] a = new int[] { int.Parse(line[0]), int.Parse(line[1]) };
dis_result[0].model_result.Add(a);
}
sr.Close();
}
REPORT_show.Text = "----------------------------------目视解译 线匹配---------------------------------\r\n";
REPORT_show.Text += "图层1 --> 图层2" + "\r\n";
for (int i = 0; i < dis_result[0].model_result.Count; i++)
{
REPORT_show.Text += "线实体" + dis_result[0].model_result[i][0] + " --> " + "线实体" + dis_result[0].model_result[i][1] + "\r\n";
}
REPORT_show.BringToFront();
status_text("读取参考数据成功", Color.Black);
}
catch { status_text("读取参考数据失败", Color.Red); }
}
private void data_show(List <List <double> > hausdorff_D, string str) //报告数据显示
{
discriminant_result dis_re = new discriminant_result();
dis_re.model_name = str;
REPORT_show.Text += "----------------------------------" + str + "线匹配---------------------------------\r\n";
string match_info = "--------------------------------------------------------\r\n" +
"阈值：" + threshold_value.Text + "\r\n" + "图层1 ---匹配--> 图层2 距离值\r\n";
int m = hausdorff_D.Count / 10; //用来处理图层有多与10个的情况,让他们分段显示
for (int n = 0; n <= m; n++)
{
if (n == m)
{
REPORT_show.Text += str.PadRight(22);
for (int i = n * 10; i < hausdorff_D[0].Count; i++)
{
REPORT_show.Text += " 图层2线实体" + (i + 1);
}
REPORT_show.Text += "\r\n";
for (int j = m * 10; j < hausdorff_D.Count; j++)
{
REPORT_show.Text += "图层1线实体" + (j + 1).ToString().PadRight(20);
for (int jj = 0; jj < hausdorff_D[j].Count; jj++)
{
REPORT_show.Text += hausdorff_D[j][jj].ToString("0.0000").PadRight(14);
if (hausdorff_D[j][jj] < double.Parse(threshold_value.Text))
{
match_info += "线实体" + (j + 1).ToString().PadRight(5) + " ---->".ToString().PadRight(13)
+ "线实体" + (jj + 1).ToString().PadRight(8) + hausdorff_D[j][jj].ToString("0.0000") + "\r\n";
int[] a = new int[] { j + 1, jj + 1 };
dis_re.model_result.Add(a);
}
}
REPORT_show.Text += "\r\n";
}
}
else
{
REPORT_show.Text += str.PadRight(22);
for (int i = n * 10; i < (n + 1) * 10; i++)
{
REPORT_show.Text += " 图层2线实体" + (i + 1);
}
REPORT_show.Text += "\r\n";
for (int j = n * 10; j < 10 * (n + 1); j++)
{
REPORT_show.Text += "图层1线实体" + (j + 1).ToString().PadRight(10);
for (int jj = 0; jj < hausdorff_D[j].Count; jj++)
{
REPORT_show.Text += hausdorff_D[j][jj].ToString("0.0000").PadRight(14);
if (hausdorff_D[j][jj] < double.Parse(threshold_value.Text))
{
match_info += "线实体" + (j + 1).ToString().PadRight(5) + " ---->".ToString().PadRight(13)
+ "线实体" + (jj + 1).ToString().PadRight(8) + hausdorff_D[j][jj].ToString("0.0000") + "\r\n";
int[] a = new int[] { j + 1, jj + 1 };
dis_re.model_result.Add(a);
}
}
REPORT_show.Text += "\r\n";
}
}
}
if ("基于传统Hausdorff距离".Equals(str)) //根据不同的model，把不同的结果放入不同的位置
{
dis_result[1] = dis_re;
}
else if ("基于改进的Hausdorff_SMHD距离".Equals(str))
{
dis_result[2] = dis_re;
}
else if ("基于离散Frechet距离".Equals(str))
{
dis_result[3] = dis_re;
}
else if ("基于平均Frechet距离".Equals(str))
{
dis_result[4] = dis_re;
}
else
{
}
REPORT_show.Text += match_info + "\r\n \r\n";
}
