搜索资源列表
model-of-airplane-recognition
- 基于模型的对飞机的识别研究,对于遥感图像的飞机识别有很多的借鉴作用-craft Objeet Recognition and Extraetion High Resolution Remotely Sensed Imagery
isar
- 基于快速傅立叶变换的遥感图像识别检测,isar雷达图像检测-Based on remote sensing image recognition to detect the fast Fourier transform, isar radar image detection
MTF
- 主要介绍遥感图像离散傅里叶变换,对图像死像元的去除,图像逆滤波复原、用刀刃发计算系统MTF时线性扩散函数拟合等-Focuses on the discrete Fourier transform of remote sensing images, the image of the dead, like the removal of dollars, image restoration inverse filtering, linear spread function fitting with c
avg_data
- 根据不同的需求,设置不同的条件,求得遥感图像的平均值或最大值-cal mean or max of data
auto_gmatch_test
- 遥感图像出路代码,IDL写的,自动图像校正代码,来源于遥感自动检测项目-Remote sensing image processing code
ChangeDetect
- 遥感图像处理代码,遥感图像自动变化检测代码,根据不同时相的图像自动检测变化信息-Remote sensing image processing code
othorectification
- 遥感图像处理代码,遥感图像正射校正代码,校正由于中心投影以及地形起伏引起的图像畸变-Remote sensing image processing code
hist_equal_test
- 遥感图像处理代码,辐射值密度函数,即直方图均衡代码,提供自动均衡处理功能-Remote sensing image processing code
ImgRMatch
- 遥感图像处理代码,遥感图像自动匹配,自动校正程序。-Remote sensing image processing code
k-means
- 利用k-means方法对图像进行分类(matlab程序和c++程序),如对遥感图像分辨出河流、树木等,需要自己定义所处理图片位置,还有将分类的图片进行彩色区分-The use of k-means method for image classification (matlab program and c++ program), such as remote sensing images to distinguish rivers, trees, etc., need to define the
work
- 实现高分辨率遥感图像和低分辨率图像的融合算法的研究源代码-To achieve high-resolution remote sensing image fusion algorithm and a low-resolution image of the source code for research
Rsir-system
- 本程序主要对遥感图像实现三种处理:几何校正、图像增强和图像配准。这三种处理都可以独立实现,然而对于原始的遥感图像将这三种处理依次进行效果更佳。-This program is mainly three kinds of processing of remote sensing image geometric correction, image enhancement and image registration. The three kinds of processing can be impl
main
- 遥感图像去条带处理,减少图像中条带状噪声-remote sensing image to remove strip
NotPurePixel
- 这是一个用于剔除遥感图像中纯净像元的程序-This program can remove pure pixels image that would be deal with.
image-mosaic.doc
- 图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的
Classification_KM
- 用于遥感图像分类的自动分类,方便快速,疗效快,你值得拥有!-For the automatic classification of remote sensing image classification, convenient and quick, fast curative effect, worthy of you!
Classification_MLC
- 用于遥感图像分类的自动分类,方便快速,疗效快!-For the automatic classification of remote sensing image classification, convenient and quick, fast curative effect!
Classification_Neural_NET1
- 用于遥感图像分类的自动分类,简单实惠,快速准确!-For the automatic classification of remote sensing image classification, the simple, fast and accurate!
Classification_SVM1
- 用于遥感图像分类的自动分类,帮你快速解决图像分类问题!-For the automatic classification of remote sensing image classification, to help you quickly solve the problem of image classification!
Image-registration
- 该程序能实现遥感图像配准,根据同名点实现图像的配准,且能实现单片微分纠正 。-The program can achieve remote sensing image registration。Achieving image registration using points of the same name.This program can achieve single-chip differential rectification.