美国的MSTAR SAR DATABASE

2023-12-13 19:40
文章标签 美国 database sar mstar

本文主要是介绍美国的MSTAR SAR DATABASE,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

这是我收藏的一个美国的雷达图像的网站,里面有一些美国公开的雷达图像数据

 

The Center for Imaging Science has been provided with this series of one-foot IPR synthetic aperture radar (SAR) images courtesy of Thomas J. Burns, the MSTAR program manager for DARPA. This data was collected using the Sandia National Laboratories Twin Otter SAR sensor payload operating at X band. The data is collected and distributed under the DARPA moving and stationary target recognition (MSTAR) program.

There are a total of seventeen image sets, with each set containing data for a particular target imaged at a particular depression angle. Each set contains data for hundreds of degrees of target aspect pose for that target at that angle of depression.

Explanation of Data Formats:

For each particular combination of target, depression angle, and aspect pose, we have the three files listed below. Note: each downloadable clutter tar.z file contains these three files for one clutter image while each downloadable target tar.z file contains these three files for many aspect poses of one target at a particular angle of depression (where many may be between 100 and 300 degrees of aspect pose). In all, the tar.z files contain each of the following from some 2,791 data sources.

?????.NXxNY.raw

The original data, containing an NX by NY series of floating point data representing the magnitude data, and another NX by NY series of floating point data representing the phase data.

?????.hdr.txt

A text file containing information about the target, the sensor, and the environment.

?????.gif

A GIF created by applying the following algorithm to the original data file:

For each pixel i

mag = magnitude[i]

phs = phase[i]

real = mag * cos(2*PI*phs/4096)

imag = mag * sin(2*PI*phs/4096)

GIF[i] = log10(real*real + imag*imag)

EndFor

Additional notes on data format (1/2/2001)

The MSTAR data files on the original CDs from SDMS begins with an ASCII text header describing the target, its pose, the data collection site, etc. Following this header is the raw, complex-valued SAR image data. This image data consists of a N_rows x N_columns array of pixel magnitudes (32 bit floating point) followed by an array of the same size containing phase data (in radians) for each pixel. The data is stored row-wise.

The MSTAR files available from the CIS web site have had the ASCII header removed. The following snippet of Matlab code will read a single image provided the file has been opened resulting in a file pointer, fp:

mstar_size = n_rows * n_cols;

[tmp_data, num] =

fread(fp,mstar_size*2,'float');

% Reshape works by column, but MSTAR data is stored by rows so the reshape

% arguments look funny.

tmp_mag = reshape(tmp_data(1:mstar_size),n_cols,n_rows).' ;

tmp_phs = reshape(tmp_data(mstar_size+1:2*mstar_size),n_cols,n_rows).'

It is not clear how the GIF images were created but they were most likely taken off the CDs from SDMS. However, the above code will give you the floating point magnitude data which can be converted to gray scale with any histogram you like. I find a logarithmic transformation produces images that are pleasant to look at (you'll need to add a small constant, say 0.00001, to the magnitude data since some pixels may be zero). Of course, for ATR or other processing we use the magnitude data directly.

The values in tmp_phs are all in the range from 0 to 2pi if the data is read in correctly.

Seventeen SAR Data Sets

This data is available with registered usernames and passwords. If you have already registered, and your registration has been confirmed, you may proceed to the download page. Where the following data sets will be available....

clip_image001

Clutter Data of Rural and Urban Scenes Near Redstone Arsenal at Huntsville, Alabama
(sample image: 428Kb) Each of the following tar.Z files is roughly 10 Mb compressed.

Angle of Depression:

Target #1: 

15 degrees

(list of one hundred clutter tar.Z files suppressed)

clip_image002

SLICY Canonical Target
(sample image: 2Kb)

Angle of Depression:

Target #1: 

15 Degrees (5.6Mb)

30 Degrees (5.3Mb)

clip_image003

Former Soviet Union T-72 Main Battle Tank
(sample image: 6Kb)

Angle of Depression:

Vehicle #1: 

15 Degrees (18.2Mb)

17 Degrees (21.6Mb)

Vehicle #2: 

15 Degrees (18.1Mb)

17 Degrees (21.5Mb)

Vehicle #3: 

15 Degrees (17.7Mb)

17 Degrees (21Mb)

clip_image004

Former Soviet Union BMP-2 Armored Personnel Carrier
(sample image: 6Kb)

Angle of Depression:

Vehicle #1: 

15 Degrees (18.2Mb)

17 Degrees (21.7Mb)

Vehicle #2: 

15 Degrees (18.2Mb)

17 Degrees (21.6Mb)

Vehicle #3: 

15 Degrees (18.2Mb)

17 Degrees (21.7Mb)

clip_image005

Former Soviet Union BTR-70 Armored Personnel Carrier
(sample image: 6Kb)

Angle of Depression:

Vehicle #1: 

15 Degrees (18.2Mb)

17 Degrees (21.7Mb)

这篇关于美国的MSTAR SAR DATABASE的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!



http://www.chinasem.cn/article/489729

相关文章

数据库面试必备之MySQL中的乐观锁与悲观锁

《数据库面试必备之MySQL中的乐观锁与悲观锁》:本文主要介绍数据库面试必备之MySQL中乐观锁与悲观锁的相关资料,乐观锁适用于读多写少的场景,通过版本号检查避免冲突,而悲观锁适用于写多读少且对数... 目录一、引言二、乐观锁(一)原理(二)应用场景(三)示例代码三、悲观锁(一)原理(二)应用场景(三)示例

SQL表间关联查询实例详解

《SQL表间关联查询实例详解》本文主要讲解SQL语句中常用的表间关联查询方式,包括:左连接(leftjoin)、右连接(rightjoin)、全连接(fulljoin)、内连接(innerjoin)、... 目录简介样例准备左外连接右外连接全外连接内连接交叉连接自然连接简介本文主要讲解SQL语句中常用的表

SQL server配置管理器找不到如何打开它

《SQLserver配置管理器找不到如何打开它》最近遇到了SQLserver配置管理器打不开的问题,尝试在开始菜单栏搜SQLServerManager无果,于是将自己找到的方法总结分享给大家,对SQ... 目录方法一:桌面图标进入方法二:运行窗口进入方法三:查找文件路径方法四:检查 SQL Server 安

MySQL 中的 LIMIT 语句及基本用法

《MySQL中的LIMIT语句及基本用法》LIMIT语句用于限制查询返回的行数,常用于分页查询或取部分数据,提高查询效率,:本文主要介绍MySQL中的LIMIT语句,需要的朋友可以参考下... 目录mysql 中的 LIMIT 语句1. LIMIT 语法2. LIMIT 基本用法(1) 获取前 N 行数据(

MySQL 分区与分库分表策略应用小结

《MySQL分区与分库分表策略应用小结》在大数据量、复杂查询和高并发的应用场景下,单一数据库往往难以满足性能和扩展性的要求,本文将详细介绍这两种策略的基本概念、实现方法及优缺点,并通过实际案例展示如... 目录mysql 分区与分库分表策略1. 数据库水平拆分的背景2. MySQL 分区策略2.1 分区概念

MySQL高级查询之JOIN、子查询、窗口函数实际案例

《MySQL高级查询之JOIN、子查询、窗口函数实际案例》:本文主要介绍MySQL高级查询之JOIN、子查询、窗口函数实际案例的相关资料,JOIN用于多表关联查询,子查询用于数据筛选和过滤,窗口函... 目录前言1. JOIN(连接查询)1.1 内连接(INNER JOIN)1.2 左连接(LEFT JOI

MySQL 中查询 VARCHAR 类型 JSON 数据的问题记录

《MySQL中查询VARCHAR类型JSON数据的问题记录》在数据库设计中,有时我们会将JSON数据存储在VARCHAR或TEXT类型字段中,本文将详细介绍如何在MySQL中有效查询存储为V... 目录一、问题背景二、mysql jsON 函数2.1 常用 JSON 函数三、查询示例3.1 基本查询3.2

MySQL中动态生成SQL语句去掉所有字段的空格的操作方法

《MySQL中动态生成SQL语句去掉所有字段的空格的操作方法》在数据库管理过程中,我们常常会遇到需要对表中字段进行清洗和整理的情况,本文将详细介绍如何在MySQL中动态生成SQL语句来去掉所有字段的空... 目录在mysql中动态生成SQL语句去掉所有字段的空格准备工作原理分析动态生成SQL语句在MySQL

MySQL中FIND_IN_SET函数与INSTR函数用法解析

《MySQL中FIND_IN_SET函数与INSTR函数用法解析》:本文主要介绍MySQL中FIND_IN_SET函数与INSTR函数用法解析,本文通过实例代码给大家介绍的非常详细,感兴趣的朋友一... 目录一、功能定义与语法1、FIND_IN_SET函数2、INSTR函数二、本质区别对比三、实际场景案例分

MySQL中的交叉连接、自然连接和内连接查询详解

《MySQL中的交叉连接、自然连接和内连接查询详解》:本文主要介绍MySQL中的交叉连接、自然连接和内连接查询,具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑完全的地方,望不吝赐教... 目录一、引入二、交php叉连接(cross join)三、自然连接(naturalandroid join)四