Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing

As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral Imaging (HSI). Consequently, a novel Folded-PCA is proposed, where the spectral vector is folded into a matrix to allow the covariance matrix to be determined more efficiently. With this matrix-based representation, both global and local structures are extracted to provide additional information for data classification. Moreover, both the computational cost and the memory requirement have been significantly reduced. Using Support Vector Machine (SVM) for classification on two well-known HSI datasets and one Synthetic Aperture Radar (SAR) dataset in remote sensing, quantitative results are generated for objective evaluations. Comprehensive results have indicated that the proposed Folded-PCA approach not only outperforms the conventional PCA but also the baseline approach where the whole feature sets are used.     

Introducing mapping standards in the quality assessment of buildings extracted from very high resolution satellite imagery

Many municipal activities require updated large-scale maps that include both topographic and thematic information. For this purpose, the efficient use of very high spatial resolution (VHR) satellite imagery suggests the development of approaches that enable a timely discrimination, counting and delineation of urban elements according to legal technical specifications and quality standards. Therefore, the nature of this data source and expanding range of applications calls for objective methods and quantitative metrics to assess the quality of the extracted information which go beyond traditional thematic accuracy alone. The present work concerns the development and testing of a new approach for using technical mapping standards in the quality assessment of buildings automatically extracted from VHR satellite imagery. Feature extraction software was employed to map buildings present in a pansharpened QuickBird image of Lisbon. Quality assessment was exhaustive and involved comparisons of extracted features against a reference data set, introducing cartographic constraints from scales 1:1000, 1:5000, and 1:10,000. The spatial data quality elements subject to evaluation were: thematic (attribute) accuracy, completeness, and geometric quality assessed based on planimetric deviation from the reference map. Tests were developed and metrics analyzed considering thresholds and standards for the large mapping scales most frequently used by municipalities. Results show that values for completeness varied with mapping scales and were only slightly superior for scale 1:10,000. Concerning the geometric quality, a large percentage of extracted features met the strict topographic standards of planimetric deviation for scale 1:10,000, while no buildings were compliant with the specification for scale 1:1000.     

Assessing integration of intensity,polarimetric scattering,interferometric coherence and spatial texture metrics in PALSAR-derived land cover classification

Synthetic aperture radar (SAR) is an important alternative to optical remote sensing due to its ability to acquire data regardless of weather conditions and day/night cycle. The Phased Array type L-band SAR (PALSAR) onboard the Advanced Land Observing Satellite (ALOS) provided new opportunities for vegetation and land cover mapping. Most previous studies employing PALSAR investigated the use of one or two feature types (e.g. intensity, coherence); however, little effort has been devoted to assessing the simultaneous integration of multiple types of features. In this study, we bridged this gap by evaluating the potential of using numerous metrics expressing four feature types: intensity, polarimetric scattering, interferometric coherence and spatial texture. Our case study was conducted in Central New York State, USA using multitemporal PALSAR imagery from 2010. The land cover classification implemented an ensemble learning algorithm, namely random forest. Accuracies of each classified map produced from different combinations of features were assessed on a pixel-by-pixel basis using validation data obtained from a stratified random sample. Among the different combinations of feature types evaluated, intensity was the most indispensable because intensity was included in all of the highest accuracy scenarios. However, relative to using only intensity metrics, combining all four feature types increased overall accuracy by 7%. Producer’s and user’s accuracies of the four vegetation classes improved considerably for the best performing combination of features when compared to classifications using only a single feature type.     

宾川小龙潭斑岩铜钼矿矿化特征及控矿条件

区域性的程海深大断裂是该区的导岩、导矿构造,直接控制了富碱性斑岩和次级构造的展布,富碱性斑岩又是区内铜钼矿化的直接成矿因素,所以应重视沿北东向构造—岩浆带的找矿工作.     

香格里拉县松诺斑岩体与普朗斑岩体特征对比

松诺斑岩体位于云南省香格里拉县境内,其与南部的普朗超大型斑岩铜矿距离十分靠近.随着近年来普朗铜矿外围找矿工作的展开,松诺地区显示出良好的找矿前景.本文重点就松诺斑岩体的地球化学特征,与普朗斑岩体的地球化学特征进行了对比讨论,以揭示它们之间的同源关系.     

湘东南—赣西地区加里东期沉积演化特征

通过对研究区加里东期沉积物的野外地质调查、剖面横向对比和岩相古地理编图,发现研究区加里东期主要发育五种沉积相类型,分别为碳酸盐岩陆棚相、碎屑岩—碳酸盐岩混积陆棚相、冰海相、欠补偿型硅质岩—页岩盆地相和补偿型浊积岩盆地相。剖面横向对比显示,研究区加里东期沉积物由西向东为连续相变沉积,横向上各种沉积相指状交叉、相互过渡;岩相古地理研究表明,加里东期湘东南—赣西地区主要发育硅质岩—页岩盆地相和浊积岩盆地相两大相带,从南华纪—奥陶纪时期两大相带的发育规模略有差异,在两大相带的结合部往往发育两种沉积相的交叉过渡带。笔者认为该区沉积相的过渡性质对探讨华南洋加里东期属性的问题有重要意义。     

Ecological Distribution and Significance of Metadiaptomus asiaticus Uljanirs,a Copepod Recently Found on the Qinghai-Tibetan Plateau

正1 Introduction In 2006,plankton investigation was carried out in the lakes in Ali district,Tibet.7 planktonic crustaceans were identified and reported.Metadiaptomus asiaticus Uljanirs was reported for the first time on the QTP(Yuan et al.,2007).However,detailed data on this species,especially its ecological significance,were not mentioned.In this     

纳米计量学的基础技术组件

为了满足ASTROD激光宇航动力学任务慨念计划的高精度要求 ,以及实现新质量标准 ,我们开始进行次纳米激光测长与纳米定位控制的研究。本文将回顾我们在清华大学与工研院测量中心的研究成果 ,介绍如何利用外差式激光干涉仪、挠性微动台与压电陶瓷 ,进行次纳米激光测长与纳米定位控制。此研究成果将做为ASTROD计划中 ,无拖曳航天技术的研发基础。之后讨论如何将纳米定位控制系统与扫描穿隧显微镜进行整合 ,完成计量型扫描穿隧显微镜 ,进一步将微结构的测量尺寸直接追溯至长度标准。     

北京一次持续性雾霾过程的阶段性特征及影响因子分析

利用北京地区高时间分辨率观测资料对2009年11月3—8日一次持续性雾霾天气过程中的气象因素和气溶胶演变特征进行了分析。结果表明,该次雾霾过程具有明显的阶段性特征,前期以霾为主,中期发展为雾霾交替,后期随着相对湿度减小再次转换为霾并最终消散。边界层逆温是低能见度过程形成的必要条件,但并不最终决定雾霾低能见度强度。相对湿度和PM_2.5浓度是决定能见度大小的两个关键影响因子,对能见度的影响体现出阶段性特征。大部分时段PM_2.5浓度是影响能见度的主要因子,当能见度小于1 km时,能见度变化更多受相对湿度影响。不同的情景计算表明,控制PM_2.5浓度对于改善本次过程的能见度有重要作用。     

东秦岭东段新发现的沙坡岭细脉浸染型钼矿地质特征、Re-Os同位素年龄及其地质意义

豫西洛宁沙坡岭钼矿床位于华北克拉通南缘东秦岭钼矿带东段,是新近发现的赋存于太古宙太华群变质岩中的细脉浸染型钼矿床。本文对其地质特征进行了研究,并初步测定了1个辉钼矿样品的Re－Os同位素年龄,获得模式年龄为126.8±1.7Ma,表明沙坡岭钼矿形成于燕山期,接近金堆城、雷门沟钼矿的形成时代,Re同位素含量显示其地幔来源的特征。沙坡岭钼矿形成机制错综复杂,有待进一步研究,特别是深部钻孔工程验证工作,对于验证深部是否隐伏着与成矿相关的斑岩体、储量更大的斑岩型钼矿有着重要作用,找矿潜力巨大。