全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于对象的南极大陆边缘浮冰自动提取技术研究

, PP. 60-70

Keywords: 南极,浮冰提取,图像分割,面向对象

Full-Text   Cite this paper   Add to My Lib

Abstract:

?南极大陆边缘区域浮冰提取对于南极浮冰变化以及全球变化的研究有重要意义,提出一种基于区域增长图像分割技术的南极大陆边缘浮冰信息自动提取方法.结合浮冰的灰度、轮廓、位置关系等信息进行合并和验证,有效解决图像分割过程中的过度分割以及分割不足的问题.还提出一种基于像素检测的小面积浮冰提取算法,有效提取像素个数小于5的浮冰目标.分别选取了LandSatETM+数据、中国环境减灾卫星HJ1BCCD1数据和MODIS1B数据,进行大范围的实验测试,并对不同数据的实验结果进行对比,结果表明三种数据的浮冰面积提取精度均高于81%,其中ETM+数据和HJ1B数据的提取精度大于90%.实验结果说明面向对象的信息提取方法不仅可以得到整个区域浮冰总的面积和数量,还可以比较准确地得到单个浮冰的详细信息.

References

[1]  1 Vaughan D G, Bamber J L, Giovinetto M, et al. Reassessment of net surface mass balance in Antarctic. J Climate, 1999, 12: 933-946??
[2]  2 Massom R A, Stammerjohn S E. Antarctic sea ice change and variability--Physical and ecological implications. Polar Sci, 2010, 4: 149-186??
[3]  3 Schwarz J N, Schodlok M P. Impact of drifting icebergs on surface phytoplankton biomass in the Southern Ocean: Ocean colour remote sensing and in situ iceberg tracking. Deep-Sea Res Pt I, 2009, 56: 1727-1741??
[4]  4 Ruhl H A, Ellena J A, Wilson R C, et al. Seabird aggregation around free-drifting icebergs in the northwest Weddell and Scotia Seas. Deep-Sea Res Pt II, 2010, 58: 1497-1504
[5]  5 Gutt J, Barratt I, Domack E, et al. Biodiversity change after climate-induced ice-shelf collapse in the Antarctic. Deep-Sea Res Pt II, 2010, 58: 74-83
[6]  6 Smith Jr K L, Robison B H, Helly J J, et al. Free-drifting Icebergs: Hot spots of chemical and biological enrichment in the Weddell. Science, 2007, 27: 478-482
[7]  7 Gladstone R, Bigg G R. Satellite tracking of icebergs in the Weddell sea. Antarctic Sci, 2002, 14: 278-287
[8]  8 Zhang J. Increasing Antarctic sea ice under warming atmospheric and oceanic conditions. Am Meteorol Soc, 2007, 10: 2515-2529
[9]  9 Blaschke T, Lang S. Object based image analysis for automated information extraction--A synthesis. In: Measuring the Earth II ASPRS Fall Conference, 2006 Nov 6-10, San Antonio, Texas
[10]  10 Walter V. Object-based classification of remote sensing data for change detection. ISPRS J Photogramm, 2004, 58: 225-238??
[11]  11 Ruvimbo G, De Maeyer P, De Dapper M. Object-oriented change detection for the city of Harare. Expert Syst Appl, 2008, 36, doi: 10.1016/j.eswa.2007.09.067
[12]  12 Holt A C, Seto E Y W, Rivard T, et al. Object-based detection and classification of vehicles from high-resolution aerial photography. Photogramm Eng Rem S, 2009, 75: 871-880
[13]  13 Gill R S. Operational detection of sea ice edges and icebergs using SAR. Can J Remote Sens, 2001, 27: 411-432
[14]  14 Silva T A M, Bigg G R. Computer-based identification and tracking of Antarctic icebergs in SAR images. Remote Sens Environ, 2005, 94: 287-297??
[15]  15 Liu H, Jezek K C. A complete high-resolution coastline of Antarctica extracted from orthorectied Radarsat SAR imagery. Photogramm Eng Rem S, 2004, 70: 605-616
[16]  16 Blonski S, Peterson C A. Antarctic iceberg tracking based on time series of aqua AMSR-E microwave brightness temperature measurements. American Geophysical Union Fall Meeting, 2006. IN33B-1352
[17]  17 Liu H, Jezek K C. Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive threshold methods. Int J Remote Sens, 2005, 5: 937-958
[18]  18 Carleer A P, Debeir O, Wolff E. Assessment of very high spatial resolution satellite image segmentations. Photogramm Eng Rem S, 2005, 11: 1285-1294
[19]  ??

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133