GDAL中GDALDataset::RasterIO分块读取的实现
GDALDataset类中的RasterIO函数能够对图像任意指定区域、任意波段的数据按指定数据类型、指定排列方式读入内存和写入文件中,因此可以实现对大影像的分块读、写运算操作。针对特大的影像图像,有时为了减少内存消耗,对图像进行分块读取很有必要。在以下的测试代码中,给出了3种方式,每种方式的最终结果都是完全相同的,从内存占用情况来看:第一种大于第二种,第二种大于第三种。第三种消耗内存最小。
测试代码如下:
int test_gdal_GDALDataset()
{
const char* image_name = "E:/GitCode/GDAL_Test/test_images/3.jpg";
GDALAllRegister();
GDALDataset* poDataset = (GDALDataset*)GDALOpen(image_name, GA_ReadOnly);
if (poDataset == nullptr) {
std::cout << "input image error" << std::endl;
return -1;
}
int width = poDataset->GetRasterXSize();
int height = poDataset->GetRasterYSize();
int band_count = poDataset->GetRasterCount();
size_t length = width * height * band_count;
GDALDataType gdal_data_type = poDataset->GetRasterBand(1)->GetRasterDataType();
int depth = GDALGetDataTypeSize((GDALDataType)gdal_data_type);
//fprintf(stderr, "depth: %d\n", depth);
assert(depth == 8 || depth == 16);
int size_byte = 1;
if (depth == 16) size_byte = 2;
void* data1 = nullptr;
void* data2 = nullptr;
void* data3 = nullptr;
if (depth == 8) {
data1 = new unsigned char[length];
memset(data1, 0, length);
data2 = new unsigned char[length];
memset(data2, 0, length);
data3 = new unsigned char[length];
memset(data3, 0, length);
} else {
data1 = new unsigned short[length];
memset(data1, 0, length * 2);
data2 = new unsigned short[length];
memset(data2, 0, length * 2);
data3 = new unsigned short[length];
memset(data3, 0, length * 2);
}
GDALClose((GDALDatasetH)poDataset);
{ // mode1
GDALDataset* poDataset = (GDALDataset*)GDALOpen(image_name, GA_ReadOnly);
int band_count = poDataset->GetRasterCount();
fprintf(stderr, "mode=1: band_count = %d\n", band_count);
int* pBandMap = new int[band_count];
for (int i = 0; i < band_count; i++) {
pBandMap[i] = i + 1;
}
GDALDataType gdal_data_type = poDataset->GetRasterBand(1)->GetRasterDataType();
int depth = GDALGetDataTypeSize((GDALDataType)gdal_data_type);
void* poSrcData = nullptr;
if (depth == 8)
poSrcData = new unsigned char[width * height * band_count];
else
poSrcData = new unsigned short[width * height * band_count];
poDataset->RasterIO(GF_Read, 0, 0, width, height,
poSrcData, width, height, gdal_data_type, band_count, pBandMap, 0, 0, 0);
if (depth == 8) {
unsigned char* p1 = (unsigned char*)poSrcData;
for (int y = 0; y < height; y++) {
unsigned char* p2 = (unsigned char*)data1 + width * band_count * y;
for (int x = 0; x < width; x++) {
for (int band = 0; band < band_count; band++) {
p2[x * band_count + band] = p1[band * width * height + y * width + x];;
}
}
}
} else {
unsigned short* p1 = (unsigned short*)poSrcData;
for (int y = 0; y < height; y++) {
unsigned short* p2 = (unsigned short*)data1 + width * band_count * y;
for (int x = 0; x < width; x++) {
for (int band = 0; band < band_count; band++) {
p2[x * band_count + band] = p1[band * width * height + y * width + x];;
}
}
}
}
GDALClose((GDALDatasetH)poDataset);
delete[] pBandMap;
delete[] poSrcData;
}
{ // mode2
GDALDataset* poDataset = (GDALDataset*)GDALOpen(image_name, GA_ReadOnly);
int crop_width = 200;
int crop_height = 200;
int loops_y = height / crop_height;
int loops_x = width / crop_width;
for (int y = 0; y < loops_y; y++) {
for (int x = 0; x < loops_x; x++) {
int band_count = poDataset->GetRasterCount();
fprintf(stderr, "mode=2: band_count = %d\n", band_count);
int* pBandMap = new int[band_count];
for (int i = 0; i < band_count; i++) {
pBandMap[i] = i + 1;
}
GDALDataType gdal_data_type = poDataset->GetRasterBand(1)->GetRasterDataType();
int depth = GDALGetDataTypeSize((GDALDataType)gdal_data_type);
void* poSrcData = nullptr;
if (depth == 8)
poSrcData = new unsigned char[crop_width * crop_height * band_count];
else
poSrcData = new unsigned short[crop_width * crop_height * band_count];
int xOff = crop_width * x;
int yOff = crop_height * y;
poDataset->RasterIO(GF_Read, xOff, yOff, crop_width, crop_height,
poSrcData, crop_width, crop_height, gdal_data_type, band_count, pBandMap, 0, 0, 0);
if (depth == 8) {
unsigned char* p1 = (unsigned char*)poSrcData;
unsigned char* p2 = (unsigned char*)data2 + width * band_count * y * crop_height;
for (int m = 0; m < crop_height; m++) {
unsigned char* p3 = p2 + width * band_count * m + x * crop_width * band_count;
for (int n = 0; n < crop_width; n++) {
for (int band = 0; band < band_count; band++) {
p3[n * band_count + band] = p1[band * crop_width * crop_height + m * crop_width + n];
}
}
}
}
else {
unsigned short* p1 = (unsigned short*)poSrcData;
unsigned short* p2 = (unsigned short*)data2 + width * band_count * y * crop_height;
for (int m = 0; m < crop_height; m++) {
unsigned short* p3 = p2 + width * band_count * m + x * crop_width * band_count;
for (int n = 0; n < crop_width; n++) {
for (int band = 0; band < band_count; band++) {
p3[n * band_count + band] = p1[band * crop_width * crop_height + m * crop_width + n];
}
}
}
}
delete[] pBandMap;
delete[] poSrcData;
}
}
GDALClose((GDALDatasetH)poDataset);
}
{ // mode3
int crop_width = 200;
int crop_height = 200;
int loops_y = height / crop_height;
int loops_x = width / crop_width;
for (int y = 0; y < loops_y; y++) {
for (int x = 0; x < loops_x; x++) {
GDALDataset* poDataset = (GDALDataset*)GDALOpen(image_name, GA_ReadOnly);
int band_count = poDataset->GetRasterCount();
fprintf(stderr, "mode=3: band_count = %d\n", band_count);
int* pBandMap = new int[band_count];
for (int i = 0; i < band_count; i++) {
pBandMap[i] = i + 1;
}
GDALDataType gdal_data_type = poDataset->GetRasterBand(1)->GetRasterDataType();
int depth = GDALGetDataTypeSize((GDALDataType)gdal_data_type);
void* poSrcData = nullptr;
if (depth == 8)
poSrcData = new unsigned char[crop_width * crop_height * band_count];
else
poSrcData = new unsigned short[crop_width * crop_height * band_count];
int xOff = crop_width * x;
int yOff = crop_height * y;
poDataset->RasterIO(GF_Read, xOff, yOff, crop_width, crop_height,
poSrcData, crop_width, crop_height, gdal_data_type, band_count, pBandMap, 0, 0, 0);
if (depth == 8) {
unsigned char* p1 = (unsigned char*)poSrcData;
unsigned char* p2 = (unsigned char*)data3 + width * band_count * y * crop_height;
for (int m = 0; m < crop_height; m++) {
unsigned char* p3 = p2 + width * band_count * m + x * crop_width * band_count;
for (int n = 0; n < crop_width; n++) {
for (int band = 0; band < band_count; band++) {
p3[n * band_count + band] = p1[band * crop_width * crop_height + m * crop_width + n];
}
}
}
} else {
unsigned short* p1 = (unsigned short*)poSrcData;
unsigned short* p2 = (unsigned short*)data3 + width * band_count * y * crop_height;
for (int m = 0; m < crop_height; m++) {
unsigned short* p3 = p2 + width * band_count * m + x * crop_width * band_count;
for (int n = 0; n < crop_width; n++) {
for (int band = 0; band < band_count; band++) {
p3[n * band_count + band] = p1[band * crop_width * crop_height + m * crop_width + n];
}
}
}
}
GDALClose((GDALDatasetH)poDataset);
delete[] pBandMap;
delete[] poSrcData;
}
}
}
for (int i = 0; i < length * size_byte; i++) {
unsigned char* p1 = (unsigned char*)data1;
unsigned char* p2 = (unsigned char*)data2;
unsigned char* p3 = (unsigned char*)data3;
if (p1[i] != p2[i] || p1[i] != p3[i]) {
fprintf(stderr, "error: data1 != data2 or data1 != data3\n");
return -1;
}
}
delete[] data1;
delete[] data2;
delete[] data3;
return 0;
}
GitHub:https://github.com/fengbingchun/GDAL_Test
GDAL中GDALDataset::RasterIO分块读取的实现的更多相关文章
- GDAL中通过GDALDriver类的Create函数实现图像的保存
GDAL中除了读取各种类型的图像外,也可以实现对各种图像的保存操作,具体实现测试代码如下: int test_gadl_GDALDataset_write() { const char* image_ ...
- 分块读取Blob字段数据(Oracle)
试过了MSSQL的分块读取Blob字段,又尝试在Oracle下完成,发现还是可行的. 首先建立一个存储过程: create or replace procedure PRO_GET_BLOB( ...
- 分块读取Blob字段数据(MSSQL)
MSSQL中提供了一个功能,能够分块读取Blob字段中的数据,写了一个存储过程代码如下: CREATE PROCEDURE PRO_GET_FILE_DATA @PKG_ID INT, ...
- 此操作只能由 SQL Server 中拥有配置数据库读取权限的用户在已加入到某个服务器场的计算机上执行
错误提示:此操作只能由 SQL Server 中拥有配置数据库读取权限的用户在已加入到某个服务器场的计算机上执行.若要将此服务器连接到服务器场,请使用 SharePoint 产品配置向导,该向导可从 ...
- Delphi中使用python脚本读取Excel数据
Delphi中使用python脚本读取Excel数据2007-10-18 17:28:22标签:Delphi Excel python原创作品,允许转载,转载时请务必以超链接形式标明文章 原始出处 . ...
- MySQL中游标使用以及读取文本数据
原文:MySQL中游标使用以及读取文本数据 前言 之前一直没有接触数据库的学习,只是本科时候修了一本数据库基本知识的课.当时只对C++感兴趣,天真的认为其它的课都没有用,数据库也是半懂不懂,胡乱就考试 ...
- 解决SpringMVC拦截器中Request数据只能读取一次的问题
解决SpringMVC拦截器中Request数据只能读取一次的问题 开发项目中,经常会直接在request中取数据,如Json数据,也经常用到@RequestBody注解,也可以直接通过request ...
- GDAL中GDALDataType中值与其在C++中数据类型对应
GDAL中的GDALDataType是一个枚举型,其中的值为: GDT_Unknown : 未知数据类型 GDT_Byte : 8bit正整型 (C++中对应unsigned char) GDT_UI ...
- java中Properties类及读取properties中属性值
本文为博主原创,未经允许不得转载: 在项目的应用中,经常将一些配置放入properties文件中,在代码应用中读取properties文件,就需要专门的类Properties类,通过这个类可以进行读取 ...
随机推荐
- 手把手教你自定义attr
最近在学习的过程中遇到了自定义的attr和自定义的style.因此各种百度,各种博客的学习,算是有了一个系统的了解.在这里记录下自己的收获. 一.为什么要使用自定义attr以及本文定位 在androi ...
- Yii 多表关联relations
1,首先多表关联是在models/xx.php的relations里配置的.而且是互配,但有区别.格式:'VarName'=>array('RelationType', 'ClassName', ...
- 2018.09.23模拟总结(T2)
T1,T3我就不说啦,反正也不会.主要想讲的是T2. T2用了一个神奇的算法:折半搜索. 因为这个坑爹的数据范围告诉我们暴搜或是状压会TLE,而一半刚好能卡过去. 折半搜索其实跟暴搜没什么区别,就是折 ...
- Python re模块正则表达式
- OC对象里面包含的结构体类型的属性,不能对该结构体属性的成员单个进行修改
OC对象里面包含的结构体类型的属性,不能对该结构体属性的成员单个进行修改,需要对OC对象的结构体属性整体赋值. 关于网上很多博客写着“结构体类型里面的某个属性如果想要修改是不允许单个修改的” 之解释: ...
- 【SQLSERVER学习笔记】进攻式编程
一般的编程语言建议是进行防御式编程,在开始处理之前先检查所有参数的合法性.但实际上,对数据库编程而言,尽量同时做几件事情的进攻式编程有切实的优势.*/ --我们SP中常见的防御式编程示例:--场景一: ...
- 前端基础-CSS的属性相关设置
一 字体属性 二 文本属性 三 背景属性 四 盒子模型 五 盒子模型各部分详解 一. 字体属性 1.font-weight:文字粗细(表格中*为重点) 取值 描述 normal 默认值,标准粗细 ...
- css百分比问题——`top`、`left`、'translate'的百分比参照谁?
比如 top.left.transform属性的translate方法,他们的百分比都是相较谁而言的? top.left是基于父元素的: .parent { position: relative; b ...
- 【译】2分钟介绍Rx
原文地址:https://medium.com/@andrestaltz/2-minute-introduction-to-rx-24c8ca793877 翻译去掉了一些口水话(⊙o⊙) 诸位应该已经 ...
- c和c++单链表
c++版 #include<iostream> #include<malloc.h> using namespace std; struct node{ int data; n ...