[C++] [GADL] Read raster data to obtain information

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0. Preface

Simply record and use c++ to read raster data

1. Text

#include<iostream>
#include "gdal_priv.h"

using namespace std;

// 读取栅格数据
void loadRasterData() {
    
    

	const char * fileName = "D:\\Programme\\Viual Studio\\C++\\learning\\point_to_line\\Project1_test\\images\\grid.tiff";

	GDALAllRegister(); // 注册驱动
	// 支持中文路径
	CPLSetConfigOption("GDAL_FILENAME_IS_UTF8", "NO");
	// 读取数据
	GDALDataset * pDataset = (GDALDataset *)GDALOpen(fileName, GA_ReadOnly);

	// 判断是否读取成功
	if (NULL == pDataset)
	{
    
    
		cout << "未能成功读取！" << endl;
		return;
	}


	// 输出图像格式信息
	CPLString strDrive = pDataset->GetDriver()->GetDescription();
	CPLString strInfo = pDataset->GetDriver()->GetMetadataItem(GDAL_DMD_LONGNAME);
	cout << "文件格式：" << strDrive << " " << strInfo << endl;

	// 获取波段，长宽和波段数
	int x = pDataset->GetRasterXSize();
	int y = pDataset->GetRasterYSize();
	int band = pDataset->GetRasterCount(); // 高
	cout << "影像x: " << x << endl;
	cout << "影像y: " << y << endl;
	cout << "波段数：" << band << endl;
	cout << "-------------------------------------------------------" << endl;

	// 输出投影方式
	CPLString  strProjection = pDataset->GetProjectionRef();
	if (strProjection != "") // 如果没有投影信息，返回一个空字符串，不是NULL;
	{
    
    
		cout << "投影方式：" << strProjection << endl;
		cout << "-------------------------------------------------------" << endl;

	}

	//输出几何信息
	double GeoTransform[6];
	if (pDataset->GetGeoTransform(GeoTransform) == CE_None) // CE_None 表示成功获取
	{
    
    
		cout << "几何信息为：" << endl;
		for (int i = 0; i < 6; i++)
		{
    
    
			cout << GeoTransform[i] << " ";
		}
		cout << endl;
		cout << "-------------------------------------------------------" << endl;

	}

	// 图像波段信息
	GDALRasterBand * pRasterBand;
	pRasterBand = pDataset->GetRasterBand(1); // 第一个波段指针
	int nxBlock, nyBlock;
	pRasterBand->GetBlockSize(&nxBlock, &nyBlock); // TODO
	CPLString DataType = GDALGetDataTypeName(pRasterBand->GetRasterDataType()); // 获取数据类型名字
	CPLString ColorType = GDALGetColorInterpretationName(pRasterBand->GetColorInterpretation()); // 获取颜色类型名称
	cout << "分块大小为：" << nxBlock << " / " << nyBlock << endl;
	cout << "数据类型：" << DataType << endl;
	cout << "颜色类型：" << ColorType << endl;
	cout << "-------------------------------------------------------" << endl;

	// 统计像素的最值
	int arrMaxMin[2];
	arrMaxMin[0] = pRasterBand->GetMaximum();
	arrMaxMin[1] = pRasterBand->GetMinimum();
	cout << "像素的最大值：" << arrMaxMin[0] << endl;
	cout << "像素的最小值" << arrMaxMin[1] << endl;

	// 图像金字塔信息
	if(pRasterBand->GetOverviewCount()!=0) // 获取当前波段的金字塔层数，如果没有金字塔返回0
	{
    
     
		cout << "金字塔数目：" << pRasterBand->GetOverviewCount() << endl;
		cout << "-------------------------------------------------------" << endl;

	}
	return;
}

int main() {
    
    

	// 读取数据
	loadRasterData();
	system("pause");
	return 0;
}

result:

references

[1] https://blog.csdn.net/weixin_42310154/article/details/102930499?utm_medium=distribute.pc_relevant_download.none-task-blog-baidujs-4.nonecase&depth_1-utm_source=distribute.pc_relevant_download.none-task-blog-baidujs-4.nonecase
[2] https://blog.csdn.net/qq_36382357/article/details/83933209