ETM＋影像在滇池水体污染监测中的应用研究

针对滇池水体污染问题,通过对滇池区域ETM＋影像采用监督分类、混合像元分解等方法,得到水体的蓝藻污染、悬浮泥沙的全湖区相对丰度分布,从中确定高浓度区．达到对滇池水体监测的目的,以期对滇池水体污染进行监测、恢复区域生态脆弱区起到指导作用。     

基于最大似然法和SVM法的太湖流域HJ-1B影像分类

以太湖流域作为研究对象,基于环境减灾卫星HJ-1B影像数据,比较利用最大似然法和支持向量机法进行土地利用/覆盖分类的效果。结果显示,SVM法在总体分类精度和Kappa系数上较传统最大似然法有所提高。SVM分类方法对于有限样本的分类表现出优越的性能,改善了传统分类方法的局限性,具有很大的应用潜力。     

MODIS土地覆盖分类的尺度不确定性研究

以空间异质性较强的枯水期鄱阳湖为研究区,以搭载于同一卫星平台、具有同一观测时间和较高空间分辨率的ASTER数据为参照,分析研究了MODIS数据在土地覆盖分类中由空间尺度带来的不确定性。首先基于MODIS三角权重函数,建立了从ASTER到MODIS的尺度转换方法;然后对不同空间分辨率的数据进行土地覆盖分类,并基于误差矩阵和线性模型分析了MODIS土地覆盖分类结果的误差来源。结果表明,空间分辨率和光谱分辨率与成像方式这两类因素对MODIS与ASTER分类结果差异的贡献比例约为(6.6—11.2):2;MODIS像元尺度对研究区水体的分类不确定性影响较低,而对森林的不确定性影响可达63%。由此可见,在基于MODIS数据的土地覆盖分类研究中,空间尺度所产生的不确定性是比较显著的。这些研究结果对于土地覆盖分类及变化检测、尺度效应和景观生态学不确定性研究,有积极的参考意义。     

Texture-based identification of urban slums in Hyderabad, India using remote sensing data

This paper outlines a methodology to identify informal settlements out of high resolution satellite imagery using the concept of lacunarity. Principal component analysis and line detection algorithms were applied alternatively to obtain a high resolution binary representation of the city of Hyderabad, India and used to calculate lacunarity values over a 60 × 60 m grid. A number of ground truthing areas were used to classify the resulting datasets and to identify lacunarity ranges which are typical for settlement types that combine high density housing and small dwelling size - features characteristic for urban slums in India. It was discovered that the line detection algorithm is advantageous over principal component analysis in providing suitable binary datasets for lacunarity analysis as it is less sensitive to spectral variability within mosaicked imagery. The resulting slum location map constitutes an efficient tool in identifying particularly overcrowded areas of the city and can be used as a reliable source in vulnerability and resilience assessments at a later stage. The proposed methodology allows for rapid analysis and comparison of multi-temporal data and can be applied on many developing urban agglomerations around the world.     

基于光谱和纹理特征的ALOS影像土地利用信息提取

针对高分辨率遥感影像易于反映地物纹理特征的特点,综合利用地物的光谱和纹理特征进行分类,探讨适用于ALOS影像的土地利用信息提取方法。以川东丘陵地区影像为例,基于GLCM提取纹理信息,将提取的纹理特征向量采用赋权值法融合为一个综合纹理信息波段,然后采用面向对象法将其与光谱特征信息共同参与分类。与最大似然法的提取结果对比表明,考虑了纹理特征的面向对象分类方法能明显提高分类精度,Kappa精度提高了0.12;避免了椒盐现象,分割的地类边界具有更好的语义表达,更贴合地物实际分布特征;建筑用地和林地具有明显的纹理特征,而旱地纹理特征不明显。该方法不仅分出了6个基本地物类型,而且对于林地、建筑用地等类型还能进一步细分。     

基于判别空间条件熵加权的土地覆盖分类方法研究

针对遥感专题类别信息的机理问题,从土地覆盖参考数据的偏差程度对分类精度的影响角度,提出了一种基于判别空间条件熵加权的土地覆盖分类方法。引入判别空间模型概念,基于此模型生成土地覆盖数据类别,并分析了土地覆盖信息类别与数据类别的语义偏差出现的深层次原因;计算信息类别与数据类别的对应关系矩阵,据此得到二者的条件熵,实现对土地覆盖信息类别与数据类别的语义偏差的量化;根据信息类别与数据类别的条件熵计算修正判别变量的权重因子,实现基于判别空间条件熵加权的土地覆盖分类。采用一景SPOT-5影像进行分类实验,并利用同一地区的Landsat 5TM影像进行方法验证。实验表明,条件熵加权修正方法使土地覆盖分类精度有了显著提高,并对不同分辨率的遥感影像具有适用性。     

Progress in spectral studies of the FBS blue stellar objects

Spectral observations of 10 FBS blue stellar objects (BSO) with the OHP 1.93-m and BAO 2.6.m telescopes are reported, and overall progress in all the spectral observations and classifications of FBS BSO over 1987–2000 and in the classification of these objects based on all the accessible sources-- in all, 753 out of 1103 objects-- is discussed. Representative slit spectra for the major types of objects are presented and compared with digitized low dispersion spectra from the DFBS. The nature of the FBS objects is examined in terms of advances in the spectral studies. Two-color diagrams are constructed from the SDSS data and are used to find the regions occupied by the various types for further identification of objects of unknown type. Translated from Astrofizika, Vol. 52, No. 1, pp. 85–97 (February 2009).     

Synoptic Typing and Its Application for Evaluating Climatic Impact on Air Quality in Urumqi

An automated procedure employing principal-component analysis and a two-stage cluster analysis was developed to classify the synoptic meteorological conditions prevailing over Urumqi, one of the most heavily polluted cities in the world. Six clusters representing different circulation patterns and air-mass characteristics were classified using surface- and upper-meteorological variables during the heating period from 2001 to 2008, and the relationships between synoptic clusters and air quality were evaluated. The heaviest air-pollution episodes occurred when Urumqi was in either an extremely cold, strong anticyclone or at the front of a migrating cyclone, both with light winds, wet surface air, and relatively dry upper air. Moderate pollution was seen when Urumqi was in the pre-cold/cold frontal passages with lower temperatures and light winds or moderate anticyclone with relatively warmer, drier air. When Urumqi was at the front of a migrating anticyclone or in a weak anticyclone with moderate winds and most warm, dry air, or in the cold/post-cold frontal passages with relatively strongly northerly airflows and precipitation, relatively good air quality could be seen. These results suggest that air pollution in Urumqi is very closely related to the synoptic meteorological conditions, which provides an important basis for not only the prediction and control of urban air-quality problems here but also for the analysis of the differential impacts of weather and pollution on human morbidity.     

国外前寒武纪铁建造的研究进展与有待深入探讨的问题

形成于早前寒武纪的铁建造,是一种富铁〔w(TFe)>15%〕的硅质化学沉积岩,其主要矿物组成是铁氧化物(磁铁矿和赤铁矿)及石英。根据铁建造的岩相学特征,将其划分为条带状铁建造和粒状铁建造;根据铁建造的沉积环境,将条带状铁建造划分为与火山岩有关的Algoma型和与细碎屑-碳酸盐岩有关的Superior型2种类型。铁建造的出现,起始于38亿年前,主要集中于28～18亿年,在18亿年之后有一个连续的缺失,但在8亿年左右因雪球事件而重新少量出现。Algoma型铁建造主要发育于中-新太古代,而Superior型则集中出现于古元古代;前者多形成于前寒武纪克拉通化之前,与海相火山活动和陆壳巨量增生密切相关,而后者多形成于克拉通化之后,与稳定发育的克拉通盆地和大气氧含量增加有关。Algoma型铁矿具有单个矿体规模较小、品位较低和多层发育等特征,而Superior型铁矿则具有单个矿体规模较大、品位较高、层位稳定等特征。由于铁建造在地质历史上大规模发育且不重复出现,所以,开展铁建造的研究不仅具有经济价值,而且具有重要的科学意义。铁建造的研究趋势是,在世界范围内进一步深化地球早期构造(地幔柱与早期板块构造)演化、水圈及大气圈组成与演化、地球早期生物活动,以及铁建造成因和时空分布规律等方面的研究。     

公路地基岩体质量分级研究

进行地基稳定性评价,关键在于查明地基结构形态和计算参数的确定。现有的勘查方法确定了地基的形态;本文从岩体质量分级入手,并提供了丰富的表格,为方便快速地确定各项参数提供了一种思路。