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本文以四川盆地及其周缘五峰组—龙马溪组页岩气评价为例,总结了页岩气有利区优选的储层参数、保存参数和压力系数等参数,量化了各关键参数平面分布,运用多元线性回归分析方法计算了参数权重,通过多参数加权叠加公式建立了多元线性回归模型:有利区=-0.317+0.75×埋深+0.285×TOC+0.148×RO+0.093×孔隙度... 相似文献
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Improvement of Urban Impervious Surface Estimation in Shanghai Using Landsat7 ETM+ Data 总被引:2,自引:2,他引:0
Wenze Yue 《中国地理科学(英文版)》2009,19(3):283-290
This paper explores the potential to improve the impervious surface estimation accuracy using a multi-stage approach on the
basis of vegetation-impervious surface-soil (V-I-S) model. In the first stage of Spectral Mixture Analysis (SMA) process,
pixel purity index, a quantitative index for defining endmember quality, and a 3-dimensional endmember selection method were
applied to refining endmembers. In the second stage, instead of obtaining impervious surface fraction by adding high and low
albedo fractions directly, a linear regression model was built between impervious surface and high/low albedo using a random
sampling method. The urban impervious surface distribution in the urban central area of Shanghai was predicted by the linear
regression model. Estimation accuracy of spectral mixture analysis and impervious surface fraction were assessed using root
mean square (RMS) and color aerial photography respectively. In comparison with three different research methods, this improved
estimation method has a higher overall accuracy than traditional Linear Spectral Mixture Analysis (LSMA) method and the normalized
SMA model both in root mean square error (RMSE) and standard error (SE). However, the model has a tendency to overestimate
the impervious surface distribution.
Foundation item: Under the auspices of National Natural Science Foundation of China (No. 40701177) 相似文献
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LIU Yong ) ) XIAN Weiwei ) ) Key Laboratory of Marine Ecology Environmental Sciences Institute of Oceanology Chinese Academy of Sciences Qingdao P. R. China ) College of Fisheries Ocean University of China Qingdao P. R. China 《中国海洋大学学报(英文版)》2009,8(2)
Growth and energy budget of the polychaete, Neanthesjaponica, at various temperatures (17, 20, 23, 26 and 29 ℃) were investigated in this study. The growth, as indicated by final dry weight and specific growth rate (SGR), increased with increasing temperature, with the maximum level at 26℃, and then decreased significantly at 29℃. A similar trend was observed in feeding rate, food conversion efficiency (FCE) and apparent digestive rate (ADR). However, no significant differences were detected in ADR among all the temperature treatments. In the pattern of energy allocation, faeces energy was only a small component of energy budget and had little influence on the proportion of food energy allocated to growth. The metabolic energy accounted for a large portion of energy intake for each temperature treatment. The nitrogen excretion was appreciable with changing temperature. The two expendi-ture terms (respiration energy and excretion energy) in energy budget were the major factors influencing the proportion of food en-ergy allocated to growth. These results revealed that temperature affected the growth of N. japonica mainly by influencing feeding rate and FCE. In addition, regression equations describing the relationship between feeding rate, faecal production, SGR, FCE and temperature were obtained. The optimum temperatures for feeding rate, FCE and SGR were estimated at 25.01 ℃, 24.24℃ and 24.73 ℃, respectively, from the regression equations. 相似文献
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一种自适应匹配子空间亚像元目标探测方法 总被引:2,自引:0,他引:2
为了克服基于线性混合模型的高光谱遥感影像亚像元目标探测方法的缺陷, 提出了一种基于全限制性线性分解的自适应匹配子空间探测方法。首先利用交叉相关光谱匹配技术求得各个像元所含端元类别信息, 然后根据端元类别信息和全限制性分解的结果构造自适应匹配子空间探测算子, 利用端元类别信息在探测中动态选择端元, 降低端元数目估计偏差对探测结果的影响, 提高探测器对目标与背景的可分性。实验证明, 该方法与其他基于线性混合模型的亚像元目标探测方法相比, 可以更好地克服端元数目估计偏差对探测结果的影响, 无论是端元个数低估还是 相似文献
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