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Scale properties of the apparent reflectance of false dark pixel: A case study of the images of AWiFS and LISS sensors |
| CHEN Jun1,2, QUAN Wenting3 |
1. Key Laboratory of Marine Hydrocarbon Resources and Environmental Geology, Ministry of Land and Resources, Qingdao 266071, China;
2. Qingdao Institute of Marine Geology, Qingdao 266071, China;
3. Shaanxi Remote Sensing Information Center for Agriculture, Xi’an 710014, China |
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Abstract With the case II waters in the Taihu Lake and Yellow River estuary as the research object and seven images of the advanced wide-field sensor(AWiFS)and linear imaging self-scanner(LISS)of Indian satellite as the basic data,the authors theoretically illuminated and experimentally evaluated the scale-depended properties of pseudo dark target pixel for dark target atmospheric correction. The results of the study show that:1 with the scale-downing method,the false dark pixel can be divided into several sub-pixels,each of which at least includes one dark pixel; 2 the problem whether there are dark pixels suitable for atmospheric correction or not is a conclusion vaguely containing scale properties; 3 there are about 8.98% bias between the reflectance of false dark pixel of AWiFS and that of LISS sensors in the Taihu Lake and Yellow River estuary,because of the different scales of the pixels; 4 the linear model (y=0.996 x-0.003 1)can be used to correct the apparent reflectance of false dark pixel of AWiFS to that of LISS,and the regression error is only 1.86%.
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| Keywords
coastline
normalized difference water index(NDWI)
support vector machine(SVM)
automatic extraction
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Issue Date: 28 April 2013
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[1] 陈军,付军,孙记红.几何校正对暗像元算法及离水辐亮度反演精度的影响——以太湖为例[J].湖泊科学,2011,23(10):89-94. Chen J,Fu J,Sun J H.Influences of geometric correction on the accuracy of dark pixel atmospheric correction algorithm and water leaving irradiance retrieval:A case study in Taihu Lake[J].Journal of Lake Science,2011,23(10):89-94.
[2] 郑求根,权文婷.基于暗像元的Hyperion高光谱影像大气校正[J].光谱学与光谱分析,2010,30(10):2710-2713. Zheng Q G,Quan W T.Application of dark pixels atmospheric correction algorithm to Hyperion imageries[J].Spectroscopy and Spectral Analysis,2010,30(10):2710-2713.
[3] Gordon H R,Franz B A.Remote sensing for ocean color:Assessment of the water-leaving radiance bidirectional effects on the atmospheric diffuse transmittance for SeaWiFS and MODIS intercomparisons[J].Remote Sensing of Environment,2008,112:2667-2685.
[4] Hu C M,Carder K L.Atmospheric correction for airborne sensors:Comment on a scheme used for CASI[J].Remote Sensing of Environment,2002,79(1):134-137.
[5] Chen J,Wen Z H,Xiao Z Q.Spectral geometric triangle properties of chlorophyll:A inversion in Taihu Lake based on TM data[J].Journal of Water Resource and Projection,2011,3(1):67-75.
[6] Li S N,Wang G X,Deng W,et al.Influence of hydrological process on wetland landscape pattern:A case study in the Yellow River delta[J].Ecological Engineering,2009,35(12):1719-1726.
[7] Cui B L,Li X Y.Coastline change of the Yellow River estuary and its response to the sediment and runoff (1976-2005)[J].Geomorphology,2011,127(1/2):32-40.
[8] Morel A,Prieur L.Analysis of variances in ocean color[J].Limnology and Oceanograph,1977,22(4):709-722.
[9] Zhang M W,Tang J W,Dong Q,et al.Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery[J].Remote Sensing Environment,2010,114(2):392-403.
[10] Chander G,Coan M J,Scaramuzza P L.Evaluation and comparison of the IRS-P6 and Landsat sensors[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(1):209-221.
[11] Woodcock C E,Strahler A H.The factor of scale in remote sensing[J].Remote Sensing Environment,1987,21(3):311-332.
[12] Chavez P S.An improved dark-object substraction technique for atmospheric scattering correction of multispectral data[J].Remote Sensing of Environment,1988,24(5):459-479. |
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2013,
Vol. 25
