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
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%.
陈军, 权文婷. “伪暗像元”表观反射率的尺度特性——以AWiFS和LISS传感器图像为例[J]. 国土资源遥感, 2013, 25(2): 33-36.
CHEN Jun, QUAN Wenting. Scale properties of the apparent reflectance of false dark pixel: A case study of the images of AWiFS and LISS sensors. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 33-36.
[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.