Identification for building surface material based on hyperspectral remote sensing

机译：基于高光谱遥感的建筑表面材料识别

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In contrast with traditional remote sensing, hyperspectral remote sensing has the characteristics of high spectral resolution, combination of graph and spectrum, and large quantity of imaging bands. It has been used in many fields. According to the research results of other scholars, building surface has become a thermal active surface which has an important effect for forming city three-dimensional climate. In the 863 research project of relieving and analyzing of city heat island, based on summarizing now available spectrum identification methods, we selected frequently-used spectral angle match (SAM) identification method for the research, then we realized a program of identifying building surface material with IDL, and we did a simulation experiment for the program by using an AVIRIS image. Finally, we got a good result. It is proved that identifying building surface material based on hyperspectral remote sensing is feasible. So it makes a solid basis for further research.

机译：与传统的遥感技术相比，高光谱遥感具有光谱分辨率高，图谱结合，成像带数量大的特点。它已被用于许多领域。根据其他学者的研究结果，建筑表面已成为热活性表面，对形成城市三维气候具有重要作用。在863城市热岛缓解与分析研究项目中，在总结现有频谱识别方法的基础上，选择了常用的光谱角度匹配（SAM）识别方法进行研究，实现了建筑物表面材料识别的程序。使用IDL，我们通过使用AVIRIS图像对该程序进行了仿真实验。终于，我们取得了不错的成绩。实践证明，基于高光谱遥感识别建筑物表面材料是可行的。因此，它为进一步的研究打下了坚实的基础。

著录项

来源
《2011 19th International Conference on Geoinformatics》|2011年|p.1-5|共5页
会议地点
作者
Zhu Jun; Zhou Lifan; Zhang Dengrong;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类环境质量评价与环境监测;测绘数据库与信息系统;
关键词
Spectral Angle Match (SAM); building surface material; hyperspectral remote sensing; spectral identification;

机译：光谱角匹配（SAM）;建筑表面材料;高光谱遥感;光谱识别;

相似文献

外文文献
中文文献
专利

1. Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data [J] . Uta Heiden, Karl Segl, Sigrid Roessner, Remote Sensing of Environment: An Interdisciplinary Journal . 2007,第4期

机译：确定用于识别高光谱遥感数据中城市表面物质的鲁棒光谱特征
2. A method for recognising building materials based on hyperspectral remote sensing [J] . C. M. Ye, P. Cui, J.Li, Materials Research Innovations . 2015,第Suppla10期

机译：一种识别基于高光谱遥感的建筑材料的方法
3. Cloud removal for hyperspectral remotely sensed images based on hyperspectral information fusion [J] . Zhang Lifu, Zhang Mingyue, Sun Xuejian, International journal of remote sensing . 2018,第19a20期

机译：基于高光谱信息融合的高光谱遥感图像云去除
4. Identification for building surface material based on hyperspectral remote sensing [C] . Zhu Jun, Zhou Lifan, Zhang Dengrong International Conference on Geoinformatics . 2011

机译：基于高光谱遥感构建表面材料的识别
5. Discrimination and measurement of crop residues on soil surfaces using hyperspectral remote sensing techniques. [D] . Powell, William Gabriel. 2003

机译：使用高光谱遥感技术区分和测量土壤表面农作物残留物。
6. Comparing mapping and direct hyperspectral imaging in stand‐off Raman spectroscopy for remote material identification [O] . Christoph Gasser, María González‐Cabrera, María José Ayora‐Cañada, -1

机译：在远端拉曼光谱中比较映射和直接高光谱成像在远端拉曼光谱中的应用
7. Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data [O] . Heiden, Uta, Segl, Karl, Roessner, Sigrid, 2007

机译：确定用于识别高光谱遥感数据中城市表面物质的鲁棒光谱特征
8. Hyperspectral Thermal Infrared Remote Sensing of the Land Surface and Target Identification using Airborne Interferometry. [R] . Taylor, J. P., Thelen, J., Havemann, S. 2009

机译：利用机载干涉测量技术进行地表高光谱红外遥感和目标识别。

Identification for building surface material based on hyperspectral remote sensing

摘要

著录项

相似文献

相关主题

期刊订阅