资源简介

摘要： 为了探讨环境卫星影像在分类中的应用潜力,通过对其地物光谱进行分析,计算推导出了适用于环境卫星数据的LBV变换公式,并且将变换后得到的LBV图像应用到面向对象分类中。实验结果表明:推导的针对HJ\|1B影像的LBV变换公式具有普适性,并且经过LBV变换后的影像有效地弥补了环境卫星数据光谱分辨率不高的缺点,在分割参数相同的情况下,分割效果明显好于原始影像分割结果。利用变换后的LBV图像进行面向对象分类,可以很好地提取出水体、植被、城镇和建筑用地4大类,总体分类精度达到93%,Kappa系数为0.8894,表明经LBV变换后的HJ影像在面向对象分类中具有很大的应用潜力。 关键词： 环境卫星影像;  LBV变换;  面向对象分类     Abstract: HJ-1A/B satellite is a new one which is studied and developed by China independently.However the study on the application of HJ-1A/B satellite images is not so much.Therefore in order to improve the capabilities of HJ\|1A/B images applied in classification,in this paper,LBV transformation and object\|oriented classification methods were used to HJ-1B images.Although there have been many LBV transformation methods for different remote sensing data,but none of them can be directly used to HJ-1B multi-spectral images.So new LBV transformation equations for HJ-1B multi\|spectral images were specially proposed based on the study of the spectral characteristics of nine typical ground features.And then these equations were used to three HJ-1B images to test and verify their feasibility and generality.At last,the LBV images on 12th November 2010 of Shenzhen city were classified by object-oriented classification method.The result showed that the transformed LBV images were more vivid,which made up the lack of spectral resolution of HJ images.What’s more,the LBV images were better at segmentation than original HJ data,and the classification accuracy could be 93%,which shows that LBV transformation has a good potential in interpreting and classifying for HJ-1B images.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.