重构代码
1、将读取定标文件（rad、NonLinear）的功能，从文件ProjectManager.cs重构到文件SpectralProcessor.cs中的一个类（calAndNonLinearFileReader）中； 2、从文件ProjectManager.cs中重构出辐亮度转换方法，添加到文件SpectralProcessor.cs中SpectralProcessor类中的方法processDirectory_dn2rad → 这是为了兼容辐亮度转换命令行程序（用于整合到通量系统中）；
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tangchao0503
@ -8,18 +8,10 @@ using System.IO;
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namespace mainProgram
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{
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public delegate void RadPercentCompleteDelegate(int ipos, string vinfo);//申明委托类型：用于通知福亮度校正的进度
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class SpectralProcessor
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{
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public void OpenNolinerData()
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{
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}
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public void OpenCalData()
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{
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}
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public void NonLinearCorrection(double[] coefficient, double[] rawData, int bandnumber)
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{
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for (int i = 0; i < bandnumber; i++)
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@ -51,6 +43,258 @@ namespace mainProgram
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}
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public void DelectDir(string srcPath)
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{
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DirectoryInfo dir = new DirectoryInfo(srcPath);
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FileSystemInfo[] fileinfo = dir.GetFileSystemInfos(); //返回目录中所有文件和子目录
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foreach (FileSystemInfo i in fileinfo)
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{
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if (i is DirectoryInfo) //判断是否文件夹
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{
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DirectoryInfo subdir = new DirectoryInfo(i.FullName);
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subdir.Delete(true); //删除子目录和文件
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}
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else
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{
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File.Delete(i.FullName); //删除指定文件
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}
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}
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}
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public event RadPercentCompleteDelegate RadPercentCompleteEvent;//申明事件
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public void processDirectory_dn2rad(string sourceDirectory, string destDirectory, CalData[] calDatas, NonLinearData[] nonLinearDatas, bool isdeleteDest = false, int CsvFileCounter = 0)//包含了工程目录结构
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{
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if(isdeleteDest)
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DelectDir(destDirectory);
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string[] sourceFilesPath = Directory.GetFileSystemEntries(sourceDirectory);
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int counter = 0;
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for (int i = 0; i < sourceFilesPath.Length; i++)//sourceDirectory下的每个日期文件夹
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{
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//构建rad中的输出文件夹
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string[] forlders = sourceFilesPath[i].Split('\\');
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string lastDirectory = forlders[forlders.Length - 1];
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string dest = Path.Combine(destDirectory, lastDirectory);
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if (!Directory.Exists(dest))
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{
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Directory.CreateDirectory(dest);
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}
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string[] rawFiles = Directory.GetFileSystemEntries(Path.Combine(sourceDirectory, lastDirectory));
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foreach (string rawFileName in rawFiles)//日期文件夹下的每个DN值csv文件
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{
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string[] nameTmp = rawFileName.Split('\\');
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string name = nameTmp[nameTmp.Length - 1];
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SpectralDataReaderWriter spectralDataReaderWriter = new SpectralDataReaderWriter(rawFileName);
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for (int j = 1; j <= spectralDataReaderWriter.TotalSpectralCount; j++)//处理 csv文件中的每条光谱
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{
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SpectralData spectralData = spectralDataReaderWriter.GetSpectral(j);
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int nonLinearData_index = calAndNonLinearFileReader.GetnonLinearDataIndex(spectralData, nonLinearDatas);
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int calData_index = calAndNonLinearFileReader.GetCalDataIndex(spectralData, calDatas);
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if (nonLinearData_index >= 0)//非线性校正
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{
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NonLinearCorrection(nonLinearDatas[nonLinearData_index].nonLinearData, spectralData.spectral, spectralData.spectralDataLength);
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}
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if (calData_index >= 0)//福亮度转换
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{
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RadCorrection(calDatas[calData_index].gain, calDatas[calData_index].exposureTime, spectralData.spectral, spectralData.exposureTime, spectralData.spectralDataLength);
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}
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spectralDataReaderWriter.UpdateSpectral(j, spectralData);
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}
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string destFileName = Path.Combine(dest, name);
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spectralDataReaderWriter.SaveCSV(destFileName);
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counter++;
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if (CsvFileCounter != 0)
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{
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float tmp1 = (float)counter / (float)CsvFileCounter;
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float tmp2 = tmp1 * 100;
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if (RadPercentCompleteEvent != null)
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{
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RadPercentCompleteEvent((int)tmp2, name + "\r\n");
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}
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}
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}
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}
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}
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}
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class calAndNonLinearFileReader
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{
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static private int FindMaxRowCount(string filePath)
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{
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FileStream fs = new FileStream(filePath, FileMode.Open, FileAccess.Read);
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StreamReader sr = new StreamReader(fs);
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string strLine = "";
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int maxColunmCount = 0;
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while ((strLine = sr.ReadLine()) != null)
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{
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maxColunmCount++;
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}
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sr.Close();
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fs.Close();
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return maxColunmCount;
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}
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static public NonLinearData ReadNonLinearFile(string nonLinearFilePath)
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{
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NonLinearData nonLinearData;
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string[] forlders = nonLinearFilePath.Split('\\');
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nonLinearData.SN = forlders[forlders.Length - 1].Split('.')[0];
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int lineCount = FindMaxRowCount(nonLinearFilePath);
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nonLinearData.nonLinearData = new double[lineCount];
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FileStream fs = new FileStream(nonLinearFilePath, FileMode.Open, FileAccess.Read);
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StreamReader sr = new StreamReader(fs);
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string strLine = "";//记录每次读取的一行记录
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int i = 0;
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while ((strLine = sr.ReadLine()) != null)//逐行读取CSV中的数据
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{
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nonLinearData.nonLinearData[i] = double.Parse(strLine);
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i++;
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}
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return nonLinearData;
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}
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static public CalData ReadCalFile(string calFilePath)
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{
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CalData calFile;
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string[] forlders = calFilePath.Split('\\');
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string filename = forlders[forlders.Length - 1].Split('.')[0];
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string[] tmp = filename.Split('_');
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calFile.SN = tmp[0];
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calFile.SN = filename;
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calFile.position = int.Parse(tmp[tmp.Length - 1]);
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FileStream fs2 = new FileStream(calFilePath, FileMode.Open, FileAccess.Read);
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BinaryReader br = new BinaryReader(fs2);
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calFile.exposureTime = br.ReadUInt32();
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calFile.temperature = br.ReadSingle();
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calFile.pixelCount = br.ReadInt32();
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calFile.waveLengthInNM = new float[calFile.pixelCount];
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calFile.gain = new double[calFile.pixelCount];
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calFile.offset = new double[calFile.pixelCount];
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for (int ii = 0; ii < calFile.pixelCount; ii++)
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{
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calFile.waveLengthInNM[ii] = br.ReadSingle();
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}
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for (int ii = 0; ii < calFile.pixelCount; ii++)
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{
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calFile.gain[ii] = br.ReadDouble();
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}
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for (int ii = 0; ii < calFile.pixelCount; ii++)
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{
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calFile.offset[ii] = br.ReadDouble();
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}
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return calFile;
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}
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static public int getNonLinearFileCount(string directory)
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{
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string[] metaFilesPath = Directory.GetFileSystemEntries(directory);
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int txtFileCount = 0;
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for (int i = 0; i < metaFilesPath.Length; i++)//
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{
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if (metaFilesPath[i].Contains("nonLinear"))
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{
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txtFileCount++;
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}
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}
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return txtFileCount;
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}
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static public int getCalFileCount(string directory)//
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{
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string[] metaFilesPath = Directory.GetFileSystemEntries(directory);
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int datFileCount = 0;
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for (int i = 0; i < metaFilesPath.Length; i++)//
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{
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if (metaFilesPath[i].Contains("cal"))
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{
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datFileCount++;
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}
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}
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return datFileCount;
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}
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static public bool readCalAndNonLinearFile(string directory, out CalData[] calDatas, out NonLinearData[] nonLinearDatas)
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{
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int datFileCount = getCalFileCount(directory);
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int txtFileCount = getNonLinearFileCount(directory);
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calDatas = new CalData[datFileCount];
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nonLinearDatas = new NonLinearData[txtFileCount];
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int d1 = 0, d2 = 0;
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string[] metaFilesPath = Directory.GetFileSystemEntries(directory);
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for (int i = 0; i < metaFilesPath.Length; i++)
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{
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if (metaFilesPath[i].Contains("nonLinear"))
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{
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nonLinearDatas[d1] = ReadNonLinearFile(metaFilesPath[i]);
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d1++;
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}
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else if (metaFilesPath[i].Contains("cal"))
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{
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calDatas[d2] = ReadCalFile(metaFilesPath[i]);
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d2++;
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}
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}
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return true;
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}
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//返回值：-1代表没有匹配项
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static public int GetnonLinearDataIndex(SpectralData spectralData, NonLinearData[] nonLinearData)
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{
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for (int i = 0; i < nonLinearData.GetLength(0); i++)
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{
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if (nonLinearData[i].SN.Contains(spectralData.SN))
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{
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return i;
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}
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}
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return -1;
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}
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//返回值：-1代表没有匹配项
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static public int GetCalDataIndex(SpectralData spectralData, CalData[] calData)
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{
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for (int i = 0; i < calData.GetLength(0); i++)
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{
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if (calData[i].SN.Contains(spectralData.SN) && calData[i].position == spectralData.position)
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{
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return i;
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}
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}
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return -1;
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}
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}
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public enum DataStatus { NoData, Raw, NonLinearCorrection, Rad, Sif };
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