小波基及其参数对遥感影像融合图像质量的影响

IHS和小波变换结合的融合方法已成为多源遥感影像信息聚合的有效途径,但小波基与小波分解层数等参数对影像融合质量影响的很多细节需进一步研究。该文以SPOT遥感影像为数据,在Matlab软件环境下进行小波簇、不同序号小波基及分解层数的图像融合,用信息熵、平均梯度和标准偏差3指标对融合图像的质量进行评价。结论如下:第1层小波分解的融合图像质量差异不大;其余小波分解层数下融合影像的质量因小波基而异,如coif5s、ym5、dmey对小波分解层数不敏感,db1、bior3.1则具有分段响应的敏感特征,其中,rbio3.1在小波分解层数为4时,融合图像失真;不同簇的小波基对融合图像质量的影响也各异。结果表明,小波基等参数的选取直接影响到遥感影像融合的效果。     

基于小波变换的陕西夏季降水量变化特征研究

利用陕西省18个站1959—2004年的逐月降水量资料和小波变换方法,对陕西46 a来的降水量的气候特征及夏季降水量变化特征进行了研究,并对未来夏季降水量变化趋势进行了估计。结果表明：①陕西三个不同气候带的夏季降水量主要集中在7—9月,陕北、关中和陕南7—9月的降水量值分别占全年总量的60.9％、51.2％和51.5％。②三个气候带中,关中和陕南的夏季降水量变化特征较为接近,都有12 a、6 a和2 a左右的主要时间尺度;陕北高原则明显的不同,主要是21.1 a和2.3 a的时间尺度。③根据三个地区夏季降水量变化的主要时间尺度,估计关中地区近期的夏季降水量可能偏多,陕南大致处于正常时期,陕北则是总体偏少的趋势。     

1873-2005年上海干湿变化

Dryness and wetness variations on different time scales in Shanghai were analyzed using the Standardized Precipitation Index (SPI) based on monthly precipitation data for 1873-2005. The SPI on scales of 3, 6, 12 and 24 months has been calculated. The SPI on 3, 6, 12 and 24 months present 4 wet periods prevailed during 1873-1885, 1904-1923, 1938-1960 and 1983-2005, and 3 dry episodes during 1888-1903, 1924-1937 and 1961-1982. Significant periods of higher wavelet power in the SPI-24 months occurred on the time scales of 2-7-year band in around 1880-1890, 1910-1950 and 1970-1990, and at 8-15-year band in 1920-1960 and 1965-2000 respectively. Periodicities in the SOI and ENSO indices are similar to those in SPI-24 months with little difference, namely, in the SPI-24 months, there are significant periods at the 2-7- and 8-15-year bands during 1930-1940. The periodicity components in individual SPI-24 months, SOI and ENSO indices are more complicated, showing the wetness and dryness variability in Shanghai is controlled by more than one physical factors. The research results indicate that the Shanghai area has experienced dryness and wetness variability on different time scales during the past 133 years.     

Observed dryness and wetness variability in Shanghai during 1873–2005

Dryness and wetness variations on different time scales in Shanghai were analyzed using the Standardized Precipitation Index (SPI) based on monthly precipitation data for 1873–2005. The SPI on scales of 3, 6, 12 and 24 months has been calculated. The SPI on 3, 6, 12 and 24 months present 4 wet periods prevailed during 1873–1885, 1904–1923, 1938–1960 and 1983–2005, and 3 dry episodes during 1886–1903, 1924–1937 and 1961–1982. Significant periods of higher wavelet power in the SPI-24 months occurred on the time scales of 2–7-year band in around 1880–1890, 1910–1950 and 1970–1990, and at 8–15-year band in 1920–1960 and 1965–2000 respectively. Periodicities in the SOI and ENSO indices are similar to those in SPI-24 months with little difference, namely, in the SPI-24 months, there are significant periods at the 2–7- and 8–15-year bands during 1930–1940. The periodicity components in individual SPI-24 months, SOI and ENSO indices are more complicated, showing the wetness and dryness variability in Shanghai is controlled by more than one physical factors. The research results indicate that the Shanghai area has experienced dryness and wetness variability on different time scales during the past 133 years.     

盘龙河上游山洪径流多时间尺度特征分析

采用小波变换方法,对盘龙河龙潭寨水文站51年(1951～2001年)的山洪径流序列进行小波分析,揭示了盘龙河上游山洪径流多时间尺度的变化特征,分析了不同时间尺度下的径流序列变化周期和丰枯突变点.研究结果表明,径流序列变化具有26a以上,17～25a,7～15a和9a左右的时间尺度特征.通过小波方差检验,得出盘龙河上游山洪径流变化的主周期均为21年,其次为15,11,7和4年,以21年主周期来看,盘龙河上游地区山洪径流变化具有同步性.     

基于小波分析的NDVI与环境因子空间尺度依存关系研究(英文)

本文通过多尺度分解途径分析了NDVI与环境因子如地形与气候之间的空间尺度依存关系。为了揭示两者关系的尺度效应,选取青藏高原北纬32.5度作为研究样带,应用小波变换分析了不同空间尺度下的小波一致性和相位关系。研究结果表明:在青藏高原小于80km空间尺度上,气候变量如降水和气温不是控制NDVI的主导因素;而大于这个尺度,在一些生态区可以发现NDVI和气候因子具有显著的小波一致性。作为一个分异因子,海拔高度在青藏高原东南缘的纵向岭谷区对NDVI有着显著影响。通过这一研究发现,小波变换是研究NDVI与影响因素之间多尺度关系的一个有力途径。     

济南市城市热岛效应的时空分布特征

论文应用区域自动气象站2007～2008年逐时气温观测资料,分析了济南城市热岛的时空分布特征,结果表明,无论春、夏、秋、冬,济南的城市热岛在空间分布上均以泉城广场、市政府为中心呈环状放射发展。热岛强度以冬季最强,秋、春季次之,夏季最弱。对城市热岛进行小波分析发现,济南冬季和夏季城市热岛的主要振荡周期是以准24h为代表的日变化和准270h所代表的旬变化为主。夏季日变化不如冬季明显,夏季旬变化略强于冬季。济南城市热岛以日为周期呈规律性变化,城市热岛强度表现为夜间强,白天弱。     

基于SPIHT小波的DEM自适应压缩方法研究

海量地形数据给其存储、分发和实时渲染带来了极大的挑战,因此迫切需要适合网络环境下地形可视化的数据压缩方法。该文探讨地形复杂度与DEM压缩方法的关系,研究可视化中地形复杂度的计算方法,并提出一种改进的SPIHT小波压缩方法:采用小波分解后的系数对DEM的地形复杂度进行评估,并针对地形复杂度对编码算法进行自适应调节。实验证明,这种改进的SPIHT小波压缩方法采用合适的压缩比进行DEM数据压缩,能够在满足地形可视化需要的同时提高压缩效率。     

高光谱遥感图像特征选择和提取方法的比较--基于试验区Barrax的HyMap数据

以西班牙Barrax地区的HyMap数据为例,利用K-L变换、波段指数、分段K-L变换、小波变换和可分性准则等常见的特征选择和提取方法,进行了特征提取和特征选择;然后,基于常用的监督分类法,通过各自的分类精度对各特征提取和特征选择法进行了比较和分析。实验结果表明使用可分性准则进行的特征选择时,基于波段指数、离散度平均值的分类精度相对较高;基于变换的特征选择中,K-L变换、分段K-L变换和小波变换的分类精度较高,三者基本上一致。而在监督分类方法的比较分析上,平行六面体法相对较差,最小距离法分类精度则相对较高,而最大似然法则比较稳定。     

Observed dryness and wetness variability in Shanghai during 1873–2005

Dryness and wetness variations on different time scales in Shanghai were analyzed using the Standardized Precipitation Index (SPI) based on monthly precipitation data for 1873–2005. The SPI on scales of 3, 6, 12 and 24 months has been calculated. The SPI on 3, 6, 12 and 24 months present 4 wet periods prevailed during 1873–1885, 1904–1923, 1938–1960 and 1983–2005, and 3 dry episodes during 1886–1903, 1924–1937 and 1961–1982. Significant periods of higher wavelet power in the SPI-24 months occurred on the time scales of 2–7-year band in around 1880–1890, 1910–1950 and 1970–1990, and at 8–15-year band in 1920–1960 and 1965–2000 respectively. Periodicities in the SOI and ENSO indices are similar to those in SPI-24 months with little difference, namely, in the SPI-24 months, there are significant periods at the 2–7- and 8–15-year bands during 1930–1940. The periodicity components in individual SPI-24 months, SOI and ENSO indices are more complicated, showing the wetness and dryness variability in Shanghai is controlled by more than one physical factors. The research results indicate that the Shanghai area has experienced dryness and wetness variability on different time scales during the past 133 years. Foundation: Frontier Project of Nanjing Institute of Geography and Limnology, CAS, No.CXNIGLAS200814; National Forestry Science and Technique Foundation during the 11th Five-Year Plan Period, No.2006BAD03A1601; Project of Huaihe River Basin, No.HRM200708; National Climate Center, China Meteorological Administration, No.CCSF2007-35 Author: Zhang Zengxin (1977–), Ph.D, specialized in climatic changes.     

基于小波变换和局部相关系数改进IHS变换的图像融合方法

为得到分辨率高、光谱畸变小的融合图像,该文根据图像处理理论和小波变换的时频局部 特性,采用Quickbird数据,对多光谱波段经IHS变换的I分量和全波段图像分别进 行小波分解,用全波段图像经小波分解得到的高频系数替换I分量小波分解的高频系数, 替换时根据图像的地物光谱特性引入局部相关系数进行有选择的高频替换.经过IHS反变换得到空间分辨率高且没有光谱畸变的融合图像.     

Polarization analysis in the wavelet domain based on the adaptive covariance method

We present an improved method for computing polarization attributes of particle motion from multicomponent seismic recordings in the time–frequency domain by using the continuous wavelet transform. This method is based on the analysis of the covariance matrix. We use an approximate analytical formula to compute the elements of the covariance matrix for a time window which is derived from an averaged instantaneous frequency of the multicomponent record. The length of the time-window is automatically and adaptively set to match the dominant period of the analysing wavelet at each time–frequency point. Then the eigenparameters are estimated for each time–frequency point without interpolation. With these key features, our method provides a suitable approach for polarization analysis of dispersive signals or overlapping seismic arrivals in multicomponent seismic data. For polarization analysis in the time domain, we show that the proposed method is consistent with existing polarization analysis methods. We apply the method to real data sets from exploration and earthquake seismology to illustrate some filtering applications and wave type characterizations.     

运用小波变换与支持向量机耦合模型(WA-SVM)预测干旱区地下水埋深

准确预测干旱区地下水埋深,对区域地下水资源的合理开发利用与生态环境保护具有十分重要的意义。以额济纳盆地3个地下水埋深观测井为对象,运用小波变换与支持向量机耦合模型（WA-SVM）对观测井未来1个月的地下水埋深进行了短期预测。为检验WA-SVM的有效性,将模拟结果与未经小波变换的SVM模型进行了对比。结果表明：在对干旱区地下水埋深进行短期预测时,相较于SVM模型,WA-SVM模型的预测精度显著提高。WA-SVM模型在干旱区地下水埋深预测中有更好的适用性,可以为干旱地区地下水埋深动态预测提供新的方法和思路,是资料有限的条件下地下水埋深预测的有效方法。     

城市景观遥感影像融合质量对小波基选取的响应

应用IHS和小波变换结合的融合算法时,小波基的选取是影响融合图像质量的关键,而且包含不同地物信息的影像融合质量对小波基的响应特征有待深入探讨。该文以SPOT全色和多光谱影像为数据源,选取大量高、低密度建筑城市景观影像样本,用信息量、平均梯度和偏差指数3个指标定量评价融合质量,分析不同小波簇下两类融合图像之间的质量差异。研究表明:融合质量与影像所含地物特征密切相关;相对于其它小波簇,rbioNr.Nd表现出较强的变异性;两类融合图像在各小波簇上的波动性差异明显,并呈分段特征;根据质量需求和具体景观特征影像,可以在分解层数固定的情况下选取最佳小波基,以获取高质量融合图像。     

阿克苏河径流变化与北大西洋涛动的关系

使用小波、交叉小波多尺度分析、相关和突变检验以及线性趋势等方法研究了阿克苏河天然径流与北大西洋涛动的关系。结论如下：（1）对NAO与阿克苏河径流的年代际变化、周期、相关等分析表明两者关系密切;（2）交叉小波谱表明：阿克苏河径流与NAO在年、冬季和夏季各周期尺度上的20世纪90年代相关性高,相关显著区多集中在90年代;（3）阿克苏河径流与NAO年代趋势强弱变化具有一致性;（4）NAO突变影响阿克苏河径流突变;（5）NAO通过大气环流变化来影响阿克苏河流域温度和降水,进而影响其径流。