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...

基于二次散射的高光谱遥感图像光谱非线性混合模型

DOI: 10.6046/gtzyyg.2013.01.04, PP. 18-25

Keywords: 高光谱遥感图像,光谱解混,线性混合模型,非线性混合模型,二次散射模型

Full-Text   Cite this paper   Add to My Lib

Abstract:

高光谱遥感图像(简称高光谱图像)的空间分辨率通常较低,混合像元现象严重。为了提高图像的分类精度,必须计算出混合像元内每种纯地物所占的比例(丰度)。然而,受实际地物间复杂关系和大气散射的影响,高光谱图像像元内的光谱混合都是非线性的,这就使得传统的基于线性光谱混合模型的解混精度难以满足要求。为此,定义了广义的非线性混合模型,提出了一种基于二次散射的非线性混合模型——二次散射模型(secondaryscatteringmodel,SSM)。通过对模拟数据和AVIRIS实际数据的解混实验表明,相对于传统的线性光谱解混,基于该模型进行光谱解混得到了更精确的分类结果。

References

[1]  Schweizer S M,Moura J M F.Hyperspectral imagery:Clutter adaptation in anomaly detection[J].IEEE Tran on Information Theory,2000,46(5):1855-1871.
[2]  童庆禧,张兵,郑兰芬.高光谱遥感——原理、技术与应用[M].北京:高等教育出版社,2006:166-169. Tong Q X,Zhang B,Zheng L F.Hyperspectral remote sensing[M].Beijing:Higher Education Press,2006:166-169.
[3]  Keshava N,Mustard J.Spectral unmixing[J].IEEE Signal Processing Mag,2002,19(1):44-57.
[4]  Craig M.Minimum volume transforms for remotely sensed data[J].IEEE Trans Geosci and Remote Sensing,1994,32(3):542-552.
[5]  Nascimento J M P,Bioucas-Dias J M.Does independent component analysis play a role in unmixing hyperspectral data?[J].IEEE Trans Geosci and Remote Sensing,2005,43(1):175-187.
[6]  Jia S,Qian Y.Constrained nonnegative matrix factorization for hyperspectral unmixing[J].IEEE Trans Geosci and Remote Sensing,2009,47(1):161-173.
[7]  Zortea M,Plaza A.Spatial preprocessing for endmember extraction[J].IEEE Trans Geosci and Remote Sensing,2009,47(8):2679-2693.
[8]  Ghosh G,Kumar S,Saha S K.Hyperspectral satellite data in mapping salt-affected soils using linear spectral unmixing analysis[J].Journal of the Indian Society of Remote Sensing,2012,40(1):129-136.
[9]  Liu K H,Wong E,Du E Y,et al.Kernel-based linear spectral mixture analysis [J].IEEE Trans Geosci and Remote Sensing,2012,9(1):129-133.
[10]  Deng Y B,Fan F L,Chen R R.Extraction and analysis of impervious surfaces based on a spectral unmixing method using Pearl River Delta of China landsat TM/ETM+ imagery from 1998 to 2008[J].Sensors,2012,12(2):1846-1862.
[11]  Iordache M D,Bioucas-Dias J M.Sparse unmixing of hyperspectral data[J].IEEE Trans Geosci and Remote Sensing,2011,49(6):2014-2039.
[12]  RSI(Research Systems Inc.).ENVI user's guide version 4.0[S].Boulder,CO 80301 USA,2003.
[13]  Heinz D C,Chang C I.Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery[J].IEEE Tran GRS,2001,39(3):529-545.
[14]  Plaza J,Plaza A,Martinez P,et al.Nonlinear mixture models for analyzing laboratory simulated-forest hyperspectral data[J].Proc SPIE Image and Signal Processing for Remote Sensing IX,2004,52(38):480-487.
[15]  AVIRIS data of Cuprite distuict,America.
[16]  Vane G,Green R,Chrien T G,et al.The airborne visible/infrared imaging spectrometer(AVIRIS)[J].Remote Sensing of the Environment,1993,44(2/3):127-143.
[17]  Nascimento J,Dias J B.Vertex component analysis:A fast algorithm to unmix hyperspectral data[J].IEEE Trans Geosci and Remote Sens,2005,43(4):175-187.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133