基于WorldView-2高分辨率卫星影像的信息提取技术
Information Extraction Technology of WorldView-2 High-ResolutionSatellite Image
DOI: 10.12677/GST.2014.22004, PDF,   
作者: 杜凤兰：北京航天世景信息技术有限公司，北京
关键词: WorldView-2；8波段；面向对象；信息提取；Worldview-2； Eight Bands； Object-Oriented； Information Extraction
摘要: WorldView-2是世界上首颗能够提供8个波段多光谱数据的高分辨率商业卫星。在对WorldView-2影像8个波段的光谱特征充分分析的基础上，运用WorldView-2影像的地物样本库，并利用面向对象的信息提取技术，分析典型地物的光谱、纹理、几何等特征，提取耕地、林地、园地、水域、道路、居民地及工矿用地等典型地类，验证WorldView-2卫星8波段数据的信息提取效应与精度。这对于WorldView-2影像在测绘、国土、环境等行业，以及国家大型项目(如地理国情监测)的深入应用具有积极的推动意义。 WorldView-2 is the first commercial high-resolution satellite to provide 8 spectral sensors in the visible to near-infrared range. Based on analyzing the 8 Spectral features of WorldView-2 and researching on the sample feature libraries of WorldView-2 image, this experiment tried to extract the data on land, woodland, garden plot, water, road, residential area and industrial land etc., and applied the object-oriented information extraction technology, in order to check the information extraction ability and the precision validation of WorldView-2 data. WorldView-2 image has a positive influence on in-depth application in mapping, land, environment industries, etc. and national project (such as geographical condition monitoring).
文章引用：杜凤兰. 基于WorldView-2高分辨率卫星影像的信息提取技术[J]. 测绘科学技术, 2014, 2(2): 14-24. https://dx.doi.org/10.12677/GST.2014.22004

参考文献

[1] 四维世景科技 (北京)有限公司. http://www.siweidg.com
[2] 美国DIGITALGLOBE公司. http://www.digitalglobe.com
[3] 周成虎, 骆剑承 (2009) 高分辨率卫星遥感影像地学计算. 科学出版社, 北京, 13-15.
[4] Rego, L.F.G. (2003) Automatic land-cover-classification derived from high-resolution IKONOS satellite image in the urban Atlantic forest in Rio de Janeiro (Brazil) by means of an object-oriented approach. Al-bert-Ludwigs-Universitat, Fakultat.
[5] Baatz, M. and Schabpe, A. (1999) Object-Oriented and Multi-Scale Image Analysis in Semantic Networks. In: Proceedings of the 2nd International Symposium on Operationalization of RemoteSensing, 16-20 August 1999, ITC, Enschede.
[6] 杜凤兰, 田庆久, 等 (2004) 面向对象的地物分类法分析与评价. 遥感技术与应用, 1, 20-24.
[7] 凌成星 (2013) WorldView-2八波段影像支持下的湿地信息提取与地上生物量估算研究. 中国林业科学研究院资源信息研究所.
[8] 凌春丽, 朱兰艳, 吴俐民 (2010) WorldView-2影像林地信息提取的研究与实现. 测绘科学, 5, 205-207
[9] 周春艳, 王萍, 张振勇, 等 (2008) 基于面向对象信息提取技术的城币用地分类. 遥感技术与应用, 1, 31-35.
[10] 张振勇, 王萍, 等 (2007) eCognition技术在高分辨率遥感影像信息提取中的应用. 国土资源信息化, 2, 15-17.
[11] 陆超 (2012) 基于worldview-2影像的面向对象信息提取技术研究. 浙江大学, 杭州, 46-51.
[12] eCognition Developer Reference Book.
[13] Russell, G. (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35-46.

为你推荐