一种改进的不规则三角网格曲面切割算法     

花卫华  邓伟萍  刘修国  尚建嘎 《地球科学》2006,31(5):619-623

三角网切割是实现三维地质建模和模型分析的关键算法, 它的效率直接决定了建模算法的效率.通过建立三角网的方向包围盒(oriented bounding box, OBB) 树实现曲面间的碰撞检测, 然后对发生相交的三角形对统一计算交点, 通过对顶点坐标归一化完成曲面切割后的快速重构, 并针对不同的曲面类型采用不同的切割分类方法进行2侧切割结果的划分.阐述了算法的实现过程并展示了切割后的图形效果.   相似文献   

Changes in air pollutants during the COVID-19 lockdown in Beijing:Insights from a machine-learning technique and implications for future control policy          下载免费PDF全文

Jiabao Hu  Yuepeng Pan  Yuexin He  Xiyuan Chi  Qianqian Zhang  Tao Song  Weishou Shen 《大气和海洋科学快报》2021,14(4):63-69

基于2015-2020年北京35个环境空气站和20个气象站观测资料,应用机器学习方法(随机森林算法)分离了气象条件和源排放对大气污染物浓度的影响.结果发现,为应对疫情采取的隔离措施使北京2020年春节期间大气污染物浓度降低了35.1％-51.8％;其中,背景站氮氧化物和一氧化碳浓度的降幅最大,超过了以往报道较多的交通站...  相似文献   

Detecting shadows in multi-temporal aerial imagery to support near-real-time change detection     

Emanuel A. Storey  Douglas A. Stow  Lloyd L. Coulter  Christopher Chen 《地理信息系统科学与遥感》2017,54(4):453-470

Multi-temporal aerial imagery captured via an approach called repeat station imaging (RSI) facilitates post-hazard assessment of damage to infrastructure. Spectral-radiometric (SR) variations caused by differences in shadowing may inhibit successful change detection based on image differencing. This study evaluates a novel approach to shadow classification based on bi-temporal imagery, which exploits SR change signatures associated with transient shadows. Changes in intensity (brightness from red–green–blue images) and intensity-normalized blue waveband values provide a basis for classifying transient shadows across a range of material types with unique reflectance properties, using thresholds that proved versatile for very different scenes. We derive classification thresholds for persistent shadows based on hue to intensity ratio (H/I) images, by exploiting statistics obtained from transient shadow areas. We assess shadow classification accuracy based on this procedure, and compare it to the more conventional approach of thresholding individual H/I images based on frequency distributions. Our efficient and semi-automated shadow classification procedure shows improved mean accuracy (93.3%) and versatility with different image sets over the conventional approach (84.7%). For proof-of-concept, we demonstrate that overlaying bi-temporal imagery also facilitates normalization of intensity values in transient shadow areas, as part of an integrated procedure to support near-real-time change detection.  相似文献   

海洋CSEM法探测二维海底天然气水合物响应特征     

王启 《江苏地质》2016,40(4):690-694

针对海底天然气水合物开展了可控源电磁探测法(Controlled-source Electromagnetic Method,CSEM)响应研究,根据实际地质资料设计二维地电模型并进行正演计算,讨论了频率变化对CSEM响应结果的影响以及海底地形起伏时的CSEM响应特征。综合天然气水合物二维正演模拟结果,论证了海洋CSEM探测海底天然气水合物的可行性,研究成果可为今后的海底天然气水合物勘探提供技术支持。  相似文献   

常态化地理国情监测领域研究     

乔朝飞  桂德竹  张月  徐坤  贾丹  孙威  贾宗仁 《测绘与空间地理信息》2016,(7)

第一次全国地理国情普查结束后,如何尽快稳步地推进常态化地理国情监测工作,是摆在测绘地理信息部门面前的一个重要课题。本文研究提出了常态化地理国情监测工作的基本原则和战略目标,阐述了常态化地理国情监测的8个领域的主要内容。  相似文献   

Relative Radiometric Normalisation - performance testing of selected techniques and impact analysis on vegetation and water bodies     

Abhisek Santra  Shreyashi Santra Mitra  Debashis Mitra  Ashis Sarkar 《国际地球制图》2019,34(1):98-113

In this paper, six image-based Relative Radiometric Normalization (RRN) techniques were applied to normalize the bi-temporal Landsat 5 TM data-set. RRN techniques do not require any atmospheric and ground information at the time of image acquisition. The target image for the year 2009 was normalized in such a way that it resembled the atmospheric and sensor conditions similar to those under which the reference image of the same season for the year 1990 was acquired. Among the selected methods applied, it was found that the Iteratively Reweighted Multivariate Alteration Detection (IR-MAD) method performed better, based on the error statistic. The IR-MAD technique was found to be advantageous as it identified a large set of true time-invariant pixels automatically from the change background using iterative canonical component analysis. The technique also stretches the values of Normalized Difference Vegetation Index and Normalized Difference Water Index and may help to distinguish different vegetation and water bodies better.  相似文献   

Normalizing shadows in multi-temporal aerial frame imagery using relative radiometric adjustments to support near-real-time change detection     

Emanuel Arnal Storey  Douglas Alan Stow  Matthew James Plummer 《地理信息系统科学与遥感》2019,56(1):22-42

This study addresses the problem of shadows in multi-temporal imagery, which is a key issue with change detection approaches based on image comparison. We apply image-to-image radiometric normalizations including histogram matching (HM), mean-variance (MV) equalization, linear regression based on pseudo-invariant features (PIF-LR), and radiometric control sets (RCS) representing high- and low-reflectance extrema, for the novel purpose of normalizing brightness of transient shadows in high spatial resolution, bi-temporal, aerial frame image sets. Efficient shadow normalization is integral to remote sensing procedures that support disaster response efforts in a near-real-time fashion, including repeat station image (RSI) capture, wireless data transfer, shadow detection (as precursor to shadow normalization), and change detection based on image differencing and visual interpretation. We apply the normalization techniques to imagery of suburban scenes containing shadowed materials of varied spectral reflectance characteristics, whereby intensity (average of red, green, and blue spectral band values) under fully illuminated conditions is known from counterpart reference images (time-1 versus time-2). We evaluate the normalization results using stratified random pixel samples within transient shadows, considering central tendency and variance of differences in intensity relative to the unnormalized images. Overall, MV equalization yielded superior results in our tests, reducing the radiometric effects of shadowing by more than 85 percent. The HM and PIF-LR approaches showed slightly lower performance than MV, while the RCS approach proved unreliable among scenes and among stratified intensity levels. We qualitatively evaluate a shadow normalization based on MV equalization, describing its utility and limitations when applied in change detection. Application of image-to-image radiometric normalization for brightening shadowed areas in multi-temporal imagery in this study proved efficient and effective to support change detection.  相似文献   

南海上层中尺度涡统一三维结构   总被引：1，自引：0，他引：1  

郑堃  林霄沛  朱亚楠 《海洋与湖沼》2018,49(3):490-496

本文基于归一化合成分析的方法,利用卫星高度计资料和CTD观测资料,在满足静力平衡和地转平衡条件的假设下研究了南海中尺度涡的三维结构,给出了南海中尺度涡归一化之后的三维结构,并与全球大洋中尺度涡统一的三维结构进行对比。结果显示,在1.5倍涡旋半径以外,南海中尺度涡水平结构的收敛速度大约为全球大洋中尺度涡水平结构收敛速度的2.5倍,前者比后者的影响范围要小约1.5倍涡旋半径。由于数据原因,我们仅合成了南海0至800m水深中尺度涡的垂直结构,从垂直结构的合成结果来看,由于受到背景层结和科氏参数的影响,南海与全球大洋各海区中尺度涡的垂直结构具有明显的不同,随着深度的增加,南海中尺度涡垂直结构的衰减速度明显更快。  相似文献   

结合贝叶斯理论和MRF的主被动遥感数据协同分类   总被引：1，自引：0，他引：1  

余凡  李海涛  万紫 《遥感学报》2012,16(4):809-825

提出一种基于贝叶斯理论和马尔科夫随机场MRF(Markov Random Fields)的主被动遥感数据协同分类方法。该方法依据光学与微波遥感数据在地物提取中的各自优势,首先对ASAR后向散射系数进行入射角归一化,然后构建一种基于贝叶斯理论和MRF的分类器,以归一化后的ASAR双极化数据与TM7个波段共同参与分类。分别对ASAR入射角归一化的有效性和主被动协同的必要性进行验证,结果表明,采用本文方法的分类精度达到89.4%,较未进行角度校正的主被动数据协同分类的精度提高了4.1%,较单独TM分类的精度提高了11.5%,体现出主被动遥感数据协同在分类上的潜力。  相似文献   

不同时相MODIS L1B数据间定量关系研究     

豆翠翠  刘元波  阮仁宗 《遥感学报》2012,16(4):837-849

由不同时相和不同传感器所导致的遥感数据非一致性是定量监测地表长期变化所必须面对的一个重要问题。用于消减遥感数据非一致性的归一化辐射校正和传感器交叉定标,多采用统计方法,难以满足定量遥感发展的需求。本文针对MODISL1B光学波段产品数据,推导了不同时相非变像元灰度值(SI)之间的数学表达式,并利用MODIS的可见光-短波红外波段L1B数据对该定量关系进行了验证。研究表明,在可见光-短波红外波段,L1B非变像元在不同时相间的定量关系分为乘性和加性两部分,主要与太阳光照条件、大气状态以及传感器自身等变化因素有关。虽然基于MODIS非变像元时相关系的检验结果与理想状态下的结果存在偏差,但总体趋势仍然较好。  相似文献