コード例 #1
0
        /// <summary>
        /// 超像素计算
        /// </summary>
        /// <param name="bmp"></param>
        private void RunSLIC(Bitmap bmp)
        {
            Invoke(new UpdateStatusLabelHandler(UpdateStatusLabel), "超像素中心计算开始...", STATUE_ENUM.WARNING);
            SlicPackage pkg = SuperPixelSegment.Run(bmp, 10000, 3, Color.White);

            Invoke(new SaveJsonHandler(SaveJson), pkg.CENTER);
            Invoke(new SaveJsonHandler(SaveJson), pkg.Label);
            Invoke(new SaveBitmapHandler(SaveBitmap), pkg.Edge);
            Invoke(new SaveBitmapHandler(SaveBitmap), pkg.Average);
        }
コード例 #2
0
        /// <summary>
        /// 应用深度学习模型进行分类
        /// </summary>
        /// <param name="rasterLayer"></param>
        private void RunClassify(GRasterLayer rasterLayer, bool useSLIC, string pbName, string centerName, string labelName)
        {
            //判断图层结构,选用不同的tensor输入
            ShapeEnum shapeEuum;

            if (rasterLayer.BandCount == 130)
            {
                shapeEuum = ShapeEnum.THIRTEEN_TEN;
            }
            else if (rasterLayer.BandCount == 100)
            {
                shapeEuum = ShapeEnum.TEN_TEN;
            }
            else if (rasterLayer.BandCount == 64)
            {
                shapeEuum = ShapeEnum.EIGHT_EIGHT;
            }
            else
            {
                shapeEuum = ShapeEnum.TEN_TEN;
            }
            //构建结果图层,用于动态绘制
            Bitmap   bmp          = new Bitmap(rasterLayer.XSize, rasterLayer.YSize);
            string   nodeName     = rasterLayer.Name + "结果图层";
            TreeNode childrenNode = new TreeNode(nodeName);

            _imageDic.Add(nodeName, new Bitmap2(name: nodeName, bmp: bmp));
            Invoke(new UpdateTreeNodeHandler(UpdateTreeNode), null, childrenNode);
            //获取波段
            TensorflowBootstrap model = new TensorflowBootstrap(pbName);

            //判断是否基于超像素
            if (!useSLIC)
            {
                for (int i = 0; i < rasterLayer.XSize; i++)
                {
                    for (int j = 0; j < rasterLayer.YSize; j++)
                    {
                        float[] input      = rasterLayer.GetPixelFloat(i, j).ToArray();
                        long    classified = model.Classify(input, shapeEuum);
                        Invoke(new PaintPointHandler(PaintPoint), bmp, i, j, Convert.ToByte(classified * 15));
                        Invoke(new UpdateStatusLabelHandler(UpdateStatusLabel), "应用分类中,总进度:" + i + "列" + j + "行", STATUE_ENUM.WARNING);
                    }
                }
            }
            else
            {
                //基于slic的超像素绘制方法
                using (StreamReader sr_center = new StreamReader(centerName))
                    using (StreamReader sr_label = new StreamReader(labelName))
                    {
                        Center[] centers = SuperPixelSegment.ReadCenter(sr_center.ReadToEnd());
                        Bitplane labels  = SuperPixelSegment.ReadLabel(sr_label.ReadToEnd());
                        int[]    mask    = new int[] { 1, 1, 1, 1, 1, 1, 1, 1, 1 };
                        for (int i = 0; i < centers.Length; i++)
                        {
                            Center  center     = centers[i];
                            float[] input      = rasterLayer.GetPixelFloatWidthConv((int)center.X, (int)center.Y, mask).ToArray();
                            long    classified = model.Classify(input, shapeEuum);
                            center.L = classified * 15;
                            center.A = classified * 15;
                            center.B = classified * 15;
                            Invoke(new UpdateStatusLabelHandler(UpdateStatusLabel), "已处理第" + i + "/" + centers.Length + "个中心", STATUE_ENUM.WARNING);
                        }
                        //遍历图片进行绘制
                        for (int i = 0; i < rasterLayer.XSize; i++)
                        {
                            for (int j = 0; j < rasterLayer.YSize; j++)
                            {
                                Invoke(new PaintPointHandler(PaintPoint), bmp, i, j, Convert.ToByte(centers[(int)Math.Floor(labels.GetPixel(i, j))].L));
                            }
                        }
                    }
            }
        }
コード例 #3
0
        /// <summary>
        /// 底图区域功能按钮
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void Map_function_Click(object sender, EventArgs e)
        {
            ToolStripItem item = sender as ToolStripItem;

            switch (item.Name)
            {
            case "Export_Bitmap_ToolStripMenuItem":
                Bitmap saveBmp = map_pictureBox.Image as Bitmap;
                SaveBitmap(saveBmp);
                //导出图片
                break;

            case "DL_CLASS_toolStripButton":
                if (map_treeView.SelectedNode == null)
                {
                    UpdateStatusLabel("请选择一副图像或者一个图层后,进行分类操作", STATUE_ENUM.ERROR);
                    return;
                }
                else
                {
                    DLClassifyForm dlclassify = new DLClassifyForm();
                    if (dlclassify.ShowDialog() == DialogResult.OK)
                    {
                        //1.选择处理那副图像
                        string       imageName    = map_treeView.SelectedNode.Text;
                        Bitmap2      imageBitmap2 = _imageDic[imageName];
                        GRasterLayer rasterLayer  = imageBitmap2.GdalLayer;
                        ThreadStart  clsfy_ts     = delegate { RunClassify(rasterLayer, dlclassify.UseSLIC, dlclassify.PBName, dlclassify.CenterName, dlclassify.LabelName); };
                        Thread       clsfy_t      = new Thread(clsfy_ts);
                        clsfy_t.IsBackground = true;
                        clsfy_t.Start();
                    }
                }
                break;

            case "open_toolstripmenuitem":    //添加图像
                ReadImage();
                break;

            case "open_contextMenuStrip":
                ReadImage();
                break;

            //超像素分割
            case "SLIC_toolStripButton":
            case "SLIC_toolStripMenu":
                Bitmap bmp = map_pictureBox.Image as Bitmap;
                if (bmp != null)
                {
                    ThreadStart slic_ts = delegate { RunSLIC(bmp); };
                    Thread      slic_t  = new Thread(slic_ts);
                    slic_t.IsBackground = true;
                    slic_t.Start();
                }
                else
                {
                    UpdateStatusLabel("未选中待计算图像,地图区域无图片", STATUE_ENUM.ERROR);
                }
                break;

            //超像素中心应用
            case "SLIC_Center_toolStripButton":
            case "SLIC_Center_toolStripMenu":
                OpenFileDialog opg = new OpenFileDialog
                {
                    Filter = "JSON文件|*.json"
                };
                if (opg.ShowDialog() == DialogResult.OK)
                {
                    //1.读取center中心
                    using (StreamReader sr = new StreamReader(opg.FileName))
                    {
                        List <byte> colors  = new List <byte>();
                        Center[]    centers = SuperPixelSegment.ReadCenter(sr.ReadToEnd());
                        //2.设置使用图层
                        CenterApplyForm centerApplyForm = new CenterApplyForm();
                        if (centerApplyForm.ShowDialog() == DialogResult.OK)
                        {
                            ThreadStart s = delegate { RunCenter(centerApplyForm.FileNameCollection, centers); };
                            Thread      t = new Thread(s)
                            {
                                IsBackground = true
                            };
                            t.Start();
                        }
                    }
                }
                break;

            default:
                break;
            }
        }
コード例 #4
0
ファイル: Main.cs プロジェクト: DragonEmperorG/kiwi.server
        /// <summary>
        /// 底图区域功能按钮
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void Map_function_Click(object sender, EventArgs e)
        {
            ToolStripItem item = sender as ToolStripItem;

            switch (item.Name)
            {
            //rpc transform
            case "RPC_ToolStripMenuItem":
                RPCForm rpcForm = new RPCForm();
                if (rpcForm.ShowDialog() == DialogResult.OK)
                {
                    IJob rpcRectifyJob = new IJobRPCRectify(rpcForm.A, rpcForm.B, rpcForm.C, rpcForm.D, rpcForm.RPCParamaters, rpcForm.RawBinRasterFullFilenames);
                    RegisterJob(rpcRectifyJob);
                    rpcRectifyJob.Start();
                }
                break;

            //cov matrix
            case "cov_toolStripButton":
                COVForm covForm = new COVForm();
                covForm.RasterDic = _rasterDic;
                if (covForm.ShowDialog() == DialogResult.OK)
                {
                    GRasterBand band1        = _rasterDic[covForm.Target1Key].BandCollection[0];
                    GRasterBand band2        = _rasterDic[covForm.Target2Key].BandCollection[0];
                    IJob        covRasterJob = new JobCOVRaster(band1, band2);
                    RegisterJob(covRasterJob);
                    covRasterJob.Start();
                }
                break;

            //task
            case "task_toolStripButton":
                TaskMonitor taskForm = new TaskMonitor();
                taskForm.Jobs = _jobs;
                taskForm.ShowDialog();
                break;

            //calucte kappa
            case "kappa_toolStripButton":
                KappaForm kappaForm = new KappaForm();
                kappaForm.RasterDic = _rasterDic;
                kappaForm.ShowDialog();
                break;

            //添加图像
            case "open_toolstripmenuitem":
            case "open_contextMenuStrip":
                ReadImage();
                break;

            //超像素分割
            case "SLIC_toolStripButton":
            case "SLIC_toolStripMenu":
                Bitmap bmp = map_pictureBox.Image as Bitmap;
                if (bmp != null)
                {
                    ThreadStart slic_ts = delegate { RunSLIC(bmp); };
                    Thread      slic_t  = new Thread(slic_ts);
                    slic_t.IsBackground = true;
                    slic_t.Start();
                }
                else
                {
                    UpdateStatusLabel("未选中待计算图像,地图区域无图片", STATUE_ENUM.ERROR);
                }
                break;

            //super pixel
            case "SLIC_Center_toolStripButton":
            case "SLIC_Center_toolStripMenu":
                OpenFileDialog opg = new OpenFileDialog
                {
                    Filter = "JSON文件|*.json"
                };
                if (opg.ShowDialog() == DialogResult.OK)
                {
                    //1.读取center中心
                    using (StreamReader sr = new StreamReader(opg.FileName))
                    {
                        List <byte> colors  = new List <byte>();
                        Center[]    centers = SuperPixelSegment.ReadCenter(sr.ReadToEnd());
                        //2.设置使用图层
                        SLICForm centerApplyForm = new SLICForm();
                        if (centerApplyForm.ShowDialog() == DialogResult.OK)
                        {
                            ThreadStart s = delegate { RunCenter(centerApplyForm.FileNameCollection, centers); };
                            Thread      t = new Thread(s);
                            t.IsBackground = true;
                            t.Start();
                        }
                    }
                }
                break;

            //dqn classification
            case "DQN_toolStripButton":
                DQNForm dqnForm = new DQNForm();
                dqnForm.RasterDic = _rasterDic;
                if (dqnForm.ShowDialog() == DialogResult.OK)
                {
                    //"Image Classification",
                    if (dqnForm.TaskName == "Image Classification")
                    {
                        IJob dqnClassifyJob = new JobDQNClassify(_rasterDic[dqnForm.SelectedFeatureRasterLayer], _rasterDic[dqnForm.SelectedLabelRasterLayer], dqnForm.Epochs);
                        RegisterJob(dqnClassifyJob);
                        dqnClassifyJob.Start();
                    }
                    //"Road Extraction"
                    else if (dqnForm.TaskName == "Road Extraction")
                    {
                    }
                }
                break;

            //cnn classification
            case "CNN_toolStripButton":
                CNNForm cnnForm = new CNNForm();
                cnnForm.RasterDic = _rasterDic;
                if (cnnForm.ShowDialog() == DialogResult.OK)
                {
                    IJob cnnClassifyJob = new JobCNNClassify(_rasterDic[cnnForm.SelectedFeatureRasterLayer], _rasterDic[cnnForm.SelectedLabelRasterLayer], cnnForm.Epochs, cnnForm.Model, cnnForm.ImageWidth, cnnForm.ImageHeight, 1);
                    RegisterJob(cnnClassifyJob);
                    cnnClassifyJob.Start();
                }
                break;

            //random forest classification
            case "rf_toolStripButton":
                RandomForestForm rfForm = new RandomForestForm();
                rfForm.RasterDic = _rasterDic;
                if (rfForm.ShowDialog() == DialogResult.OK)
                {
                    IJob rfJob = new JobRFClassify(rfForm.TreeCount, rfForm.FullFilename, _rasterDic[rfForm.FeatureKey]);
                    RegisterJob(rfJob);
                    rfJob.Start();
                }
                break;

            //drawing comparsion multi-reslut curve
            case "Compare_Plot_toolStripButton":
                ComparedPlotForm cp_form = new ComparedPlotForm();
                cp_form.ShowDialog();
                break;

            default:
                break;
            }
        }