1.算法功能簡介算法
Pansharp 融合是基於最小二乘逼近法來計算多光譜影像和全色影像之間灰度值關係,具體過程是利用最小方差技術對參與融合的波段灰度值進行最佳匹配,以減小融合後的顏色誤差。該融合方法不受波段限制,能夠實現多個波段的同時融合,能最大限度地保留多光譜影像的顏色信息(高保真)和全色影像的空間紋理信息。多線程
PIE支持算法功能的執行,下面對Pansharp融合算法功能進行介紹。ide
2.算法功能實現說明測試
2.1. 實現步驟編碼
第一步spa |
算法參數設置線程 |
第二步code |
算法執行視頻 |
第三步blog |
結果顯示 |
2.2. 算法參數
算法名稱 |
Pansharp融合 |
|
C#算法DLL |
PIE.CommonAlgo.dll |
|
C#算法名稱 |
PIE.CommonAlgo.PansharpFuseAlgo |
|
參數結構體 |
Pansharp_Exchange_Info |
|
參數說明 |
||
PanFilePath |
String |
輸入高分辨率數據路徑 |
MssFilePath |
String |
輸入多光譜數據路徑 |
MULChannels |
IList<int> |
輸入的多光譜數據波段集合{0,1,2,3} |
HighChannel |
Int |
融合選擇的高分辨率數據波段 |
OutputFilePath |
String |
輸出文件 (*.tif;*.tiff; *.img) |
FileTypeCode |
String |
根據輸出類型得到文件編碼類型 .tif/.tiff——GTiff .img—————HFA 其餘—————ENVI |
ResampleMode |
Int |
重採樣類型 (最近鄰點插值0/雙線性插值1/三次卷積法插值2) |
AlgoType |
Int |
融合類型 0表明pca融合 、1表明pansharp 融合 |
FuncName |
String |
功能名稱 |
BMultiThread |
Bool |
是否多線程(true) TRUE 是; FALSE 否 |
項目路徑 |
百度雲盤地址下/PIE示例程序/ 10.算法調用/圖像預處理/PIE.ImagePreprocessing. PansharpFuseAlgo |
數據路徑 |
百度雲盤地址下/PIE示例數據/柵格數據/01.GF1/PAN.tif ;MS.tif |
視頻路徑 |
百度雲盤地址下/PIE視頻教程/ 10.算法調用/圖像預處理/Pansharp融合算法.avi |
示例代碼 |
|
![]() 1 /// <summary> 2 ///Pansharp融合算法測試,本算法實現了將PAN.tif和MS.tif進行最近鄰域法Pansharp融合 3 /// </summary> 4 public override void OnClick() 5 { 6 #region 一、參數設置 7 PIE.CommonAlgo.Pansharp_Exchange_Info info = new PIE.CommonAlgo.Pansharp_Exchange_Info(); 8 9 info.PanFilePath = @"D:\Data\PAN.tif"; 10 info.MssFilePath = @"D:\Data\MS.tif"; 11 info.MULChannels = new List<int> { 0, 1, 2 }; 12 info.HighChannel = 0; 13 info.OutputFilePath = @"D:\Data\result8.tif"; 14 info.FileTypeCode = "Gtiff"; 15 info.ResampleMode = 0; 16 17 info.AlgoType = 1; //pansharp 融合 18 info.BMultiThread = true; 19 20 PIE.SystemAlgo.ISystemAlgo algo = PIE.SystemAlgo.AlgoFactory.Instance().CreateAlgo("PIE.CommonAlgo.dll", "PIE.CommonAlgo.PansharpFuseAlgo"); 21 if (algo == null) return; 22 #endregion 23 24 //二、算法執行 25 PIE.SystemAlgo.ISystemAlgoEvents algoEvents = algo as PIE.SystemAlgo.ISystemAlgoEvents; 26 algo.Name = "Pansharp融合"; 27 algo.Params = info; 28 algo.Params = info; 29 (algo as PIE.SystemAlgo.ISystemAlgoEvents).OnExecuteCompleted +=PansharpFuseAlgo_OnExecuteCompleted; 30 (algo as PIE.SystemAlgo.ISystemAlgoEvents).OnProgressChanged += PansharpFuseAlgo_OnProgressChanged; 31 32 PIE.AxControls.IStatusBar statusBar = m_Application.StatusBar; 33 statusBar.ShowProgress(0, 100, ""); 34 35 PIE.SystemAlgo.AlgoFactory.Instance().AsynExecuteAlgo(algo); 36 } 37 38 int PansharpFuseAlgo_OnProgressChanged(double complete, string msg, SystemAlgo.ISystemAlgo algo) 39 { 40 PIE.AxControls.IStatusBar statusBar = m_Application.StatusBar; 41 statusBar.UpdateProgress((int)complete, msg); 42 return 0; 43 } 44 45 void PansharpFuseAlgo_OnExecuteCompleted(SystemAlgo.ISystemAlgo algo) 46 { 47 PIE.AxControls.IStatusBar statusBar = m_Application.StatusBar; 48 statusBar.UpdateProgress(100, ""); 49 statusBar.HideProgress(); 50 51 //三、結果顯示 52 ILayer layer = PIE.Carto.LayerFactory.CreateDefaultLayer(@"D:\Data\result8.tif"); 53 m_HookHelper.ActiveView.FocusMap.AddLayer(layer); 54 m_HookHelper.ActiveView.PartialRefresh(ViewDrawPhaseType.ViewAll); m_HookHelper.ActiveView.PartialRefresh(ViewDrawPhaseType.ViewAll); 55 (algo as PIE.SystemAlgo.ISystemAlgoEvents).OnExecuteCompleted -= PansharpFuseAlgo_OnExecuteCompleted; 56 (algo as PIE.SystemAlgo.ISystemAlgoEvents).OnProgressChanged -= PansharpFuseAlgo_OnProgressChanged; 57 } |