搜索资源列表
K_mean
- 利用K均值算法对7个波段的TM遥感影像进行有监督的分类!里面包含完整的算法及TM图像,下载即可进行调试!-K means algorithm using 7 bands of TM remote sensing image supervised classification! Which contains the complete algorithm and the TM image, download it for debugging!
PRxx
- 海量遥感影像监督法分类,基于GDAL,附有使用文档。-Mass remote sensing image supervised classification method, based on GDAL, with use of the document.
ecognition-AND-REMOTESENSING
- 传统的基于像素的统计特征的分类方法在处理高分辨率影像的分类问题上遇到了很大的困 难。介绍了面向对象与基于像素的分类方法 ,探讨了基于面向对象的遥感影像的模糊分类方法在地 物分类中的新思路。并且通过了展示利用 ecognition 进行的的一个分类实例 ,阐述了面向对象的模 糊分类技术的软件应用-Traditional pixel-based classification of the statistical characteristics of high-resolution ima
Texture-extraction
- 程序实现图像问题特征的提取,可以用于遥感影像的多特征分类实验。-Procedures for image feature extraction problem, can be used for remote sensing images of multi-feature classification test.
supervised_classification
- 模式识别中的监督分类程序,通过在遥感影像上选择训练样区,计算混淆矩阵,进行分类。-Pattern recognition supervised classification procedures, through training in remote sensing image, select the sample area, calculate the confusion matrix, classification.
huanjingxing
- 实现图像的分类,并在分类后实现两幅不同时相影像间的变化检测的功能-Realizes image classification, and after two of the classification realize also by images of the function between change detection
Image
- 影像按照四种颜色进行识别及分类,并使用四邻域生长算法将附近邻域颜色打通。-image classfy
FeatureExtraction-(1)
- 绿色植物具有明显的光谱反射特征,而这种特征与植被的发育、健康状况以及生长条件密切相关。传统的宽波段、多光谱遥感数据对于植被的研究仅限于一般性的红光吸收特征和近红外的反射特征[1-3],以及中红外的水吸收特征[4-6]。高光谱遥感通过对不同类型植被的生物物理化学成分含量的估算能获得较为理想的植被生态学信息,并在提取植被信息中得到大量的应用和研究[7-10]。高光谱遥感器的出现为改进现有的分类算法,进一步提高植被分类精度提供了可能。高光谱遥感技术已经应用于湿地分类、边界、水体、湿地植被和湿地生境因子
ClassifierBasic(srcPdocPbin)
- 本代码主要针对影像进行了分类的,利用程度一般,不过值得参考。-This code is aimed at images are classified, utilization degree general, but it is worth reference.
Image-processing
- 对遥感影像进行增强,平滑去噪等,还包括K均值分类-Remote sensing image enhancement, denoising, also including the K-means classification
Image-Classification-VCPP-Programme
- 用C++语言编写的MFC程序,用K均值和ISODATA算法实现BMP影像的自动分类。提供良好的交互接口,用户可在图像上选择初始聚类中心和设定分类相关参数。适合作为初学者学习分类算法和MFC编程的参考资料。提供了文档说明程序的操作过程。-MFC program with C++ language, K-means and ISODATA algorithm to achieve the automatic classification of BMP images. Provide a good i
Simulated-Annealing
- 由于K-means 聚类方法对遥感图像进行分类时,对训练样本的选取依赖性很大,容易陷入局部最优的陷阱的情况,本文提出利用模拟退化算法对K-means 的聚类进行优化以获得 全局最优解的分类新方案。并以多波段影像为例进行验证分析,结果表明该方法可行,收敛 结果优于K-means 聚类算法,分类精度相对传统的K-means 算法更高。-Because K-means clustering classification depend on the training sample selecti
ANSL0
- 小波分析理论与MATLAB小波分析的应用领网域十分广泛,它包括:数学领网域的许多学科;信号分析、影像处理;量子力学、理论物理;军事电子对抗与武器的智能化;电脑分类与识别;音乐与语言的人工合成;医学成像与诊断-MATLAB wavelet analysis theory and application of wavelet analysis collar domain is very extensive, it includes: Mathematics collar domain many di
wyh2009302590123RSPrograming
- 武汉大学遥感编程实习源代码,包括对影像的分类和对IMG图像的读取转换,影像的融合-Remote Sensing, Wuhan University internship program source code
cal_class
- envi二次开发,调用其中的分类函数,实现对遥感影像的分类,减少开发难度-envi second development, called the classification function, the classification of remote sensing images, simplifying the development of difficulty
EWEW43
- 改进的遗传算法用于极化合成孔径雷达影像非监督分类Improved genetic algorithm for polarimetric synthetic aperture radar image unsupervised classification-Improved genetic algorithm for polarimetric synthetic aperture radar image unsupervised classification
fusion
- 利用matlab进行小波分解,然后重构得到融合影像,并进行傅里叶分类-The use of matlab wavelet decomposition, and then reconstruct fused image and Fourier classification
Eyes
- 图像处理实习(针对遥感影像),包含许多经典的图像处理功能,比如多种植被指数计算、小波变换、镶嵌、图像分类等-Image processing internship (for remote sensing images), contains many classic image processing functions, such as a variety of vegetation indices, wavelet transform, mosaic, image classification,
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- 高分辨率遥感影像的支持张量机分类方法,此方法能够利用少量的训练样本实现更优的分类精度。-Support tensor machines resolution remote sensing image classification method, and this method can use a small amount of training samples to achieve better classification accuracy.
edge-analysis-code
- 影像边缘检测,可用于检测影像的边缘信息,用于遥感解译与分类。-Image edge detection, can be used to detect image edge information for remote sensing interpretation and classification.