Modelling the April 15 spectrum of Supernova 1993 J

We present the modeling of the ultraviolet and optical spectra obtained simultaneously on 1993 April 15 with the HST and at Lick Observatory. A Monte Carlo code is employed in the modeling and a comparison is made between models reported by different groups. With an atmosphere similar to the Sun in chemical composition, the observed spectral lines are well reproduced by a power law density structure of index around 20 except the strong H and HeI λ5876 lines which have peculiar absorption profiles. The photospheric velocity is found to be 9500 km/s and the blackbody temperature of the spectrum is 7990 K. For H and HeI λ5876, we suggest a two-component density structure which has a smoother layer located immediately outside the steeply decreasing inner envelope. The power law indices are most probably 20 and 3, respectively, with the transition point at about 13 000 km/s. In addition, this outer smooth layer serves to flatten the far UV spectrum as observed.     

2003年5月4日新疆伽师-岳普湖5.8级地震烈度分布及建筑物结构破坏特点

新疆伽师-岳普湖5．8级地震宏观震中位于岳普湖县的铁热木乡和兵团农三师42团的北面，震中烈度为Ⅶ度。本次地震影响范围位于巴楚-伽师6．8级地震Ⅵ-Ⅶ度影响区域内，累计破坏效应造成了较为严重的房屋破坏。通过对大量震害资料和强震记录的分析，根据建筑物的破坏情况和场地峰值加速度衰减特征，在尽可能排除累计破坏效应的基础上确定了地震烈度分布，分析了不同烈度区中的建筑物结构破坏特点及其与地震动影响场的关系。     

A 3D multi-threshold,region-growing algorithm for identifying dust storm features from model simulations

Dust storms cause significant damage to health, property, and the environment worldwide every year. To help mitigate the damage, dust forecast models simulate and predict upcoming dust events, providing valuable information to scientists, decision makers, and the public. These simulation outputs are in four-dimensions (i.e., latitude, longitude, elevation, and time) and represent spatially heterogeneous dust storm features and their evolution over space and time. This research investigates and proposes an automatic multi-threshold, region-growing-based algorithm to identify critical dust storm features from 3D dust storm simulations. A multi-threshold scheme is defined for the identification of dust storm features with different dust concentrations. Based on the multi-thresholds, dust storm features are iteratively identified by developing a region-growing algorithm that splits a clustered dust storm feature into multiple sub-features. The proposed approach is compared with three commonly used methods in image processing and thunderstorm identification. The proposed approach outperforms the other three methods in sensitivity and quantitative/qualitative accuracy. This research approach may also be slightly adjusted to identify critical 3D features from simulation outputs for other severe weather and geographical phenomena.     

基于高精度DEM和RS技术的滑坡环境指标参数快速提取方法——以陕西省宝鸡市金台区长乐塬特大型滑坡为例

DEM和RS技术是研究滑坡地质灾害的重要资料和手段。近年来,随着高空间分辨率遥感卫星和高精度雷达卫星的上天,可以获取现时性高精度的DEM,使滑坡地质灾害的研究由二维向三维提升。利用IRS-P5数据生成的5m精度的DEM,借鉴GOOGLE的三维可视性原理,将其和高空间分辨率QuickBird(0.61m)数据叠置到数字地球之上,制作成三维可视性图像,进行滑坡环境指标参数提取方法研究。研究结果表明,该方法可直接读取滑坡环境指标的三维参数,具有客观、准确、快速的特点,可为滑坡灾害评估和区域地质灾害危险性评价提供定量化资料。     

基于残差神经网络改进的密集人群计数方法

为避免密集人群踩踏事件发生,从监控图像中准确获取密集人群人数信息非常重要。针对密集人群计数难度大、人群目标小、场景尺度变化大等特点,本文提出一种新型神经网络结构VGG-ResNeXt。本网络使用VGG-16的前10层作粗粒度特征提取器,使用改进的残差神经网络作为细粒度特征提取器。利用改进的残差神经网络“多通道,共激活”的特点,使得单列式人群计数神经网络获得了多列式人群计数网络的优点（即从小目标、多尺度的密集人群图像中提取更多人群特征）,同时避免了多列式人群计数网络训练难度大、结构冗余等缺点。实验结果表明本模型在UCF-CC-50数据集、ShangHaiTech B数据集和UCF-QNRF数据集中取得了最高精度,MAE指标分别优于其他同期模型7.5%、18.8%和2.4%,证明了本模型的在计数精度方面的有效性。本研究成果可以有效帮助城市管理,有效缓解公安疏导压力,保障人民生命财产安全。     

岷县漳县6.6级地震前区域地壳运动变形背景与断层形变异常特征

利用甘肃岷县漳县6.6级地震区所在的青藏块体东北缘地区的区域水准、GPS、流动重力和跨断层短测线等地形变监测资料,结合地质构造、动力环境和已往的研究结果,分析了不同类型资料反映的震前区域性地壳变形背景、断层形变异常特征和可能的机理.结果认为：（1）岷县漳县6.6级地震前西秦岭、六盘山等构造区不同程度地存在着GPS水平挤压闭锁高应变积累、垂直隆升异常高梯度带和重力升、降差异剧烈变化等中长期背景;（2）震前到震时发震断裂附近及其外围相关构造区域断层形变异常在空间和时间上的起伏波动变化显著,尤其是汶川地震以来的波动变化在一定程度上反映了与本区构造比邻的龙门山断裂带剧烈右旋错动对本区的影响,与本次岷县6.6级地震过程有关;（3）本区有地形变监测资料积累以来缺乏6级以上震例,虽然存在不同程度的中长期形变背景异常,但何时进入短期-短临阶段确实很难把握,需要不断积累总结和探索提高.     

MapGIS对线性地物编辑的拓扑处理

简明地描述了MapGIS对线性地物的拓扑处理使用情况和一些使用方法的实现,同时介绍MapGIS拓扑处理部分功能的应用和技巧。     

一种图像自动拼接方法的研究

以关键帧作为待拼接图像,为了减少图像间的扭曲和变形,保证图像整体关系的正确性,减少误差的累积传播,得到最佳的拼接结果,本文采用三种技术来提高图像自动拼接的精度。首先,通过摄像机标定实现关键帧的矫正;其次,采用基于Harris和SURF算法完成特征点的匹配;最后,在特征匹配的基础上进行光束法平差得到高精度的图像参数。实验结果表明,此方法稳定可靠,拼接精度高。