Speckle observations with PISCO in Merate: VI. Astrometric measurements of visual binaries in 2006

We present relative astrometric measurements of visual binaries made during the second semester of 2006, with the speckle camera PISCO at the 102 cm Zeiss telescope of Brera Astronomical Observatory, in Merate. Our sample contains orbital couples as well as binaries whose motion is still uncertain. We obtained 175 new measurements of 169 objects, with angular separations in the range 0″.1–4″.2, and an average accuracy of 0″.01. The mean error on the position angles is 0°.6. Most of the position angles could be determined without the usual 180° ambiguity with the application of triplecorrelation techniques and/or by inspection of the long integration files.We also present the new orbits we have computed for ADS 11479, 11584 and 16538, for which our measurements lead to large residuals and/or for which the revision was justified by the significant number of observations made since the last orbit computation (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

复杂航摄资料的ADS80影像空三加密处理与分析

从省级基础测绘项目的实践出发,以临夏测区为例,对复杂航摄资料的ADS80影像数据空三加密处理技术进行论述,对不同加密方法的精度情况进行对比并分析其原因。     

基于Leica ADS80系统的航空遥感影像成果质量控制研究

通过对“辽宁省农村集体土地确权登记发证”项目0.2m分辨率航空遥感影像成果的检查验收,阐述了应用Leica ADS80系统生产航空遥感影像成果的检查内容、检查方法及质量控制的关键点,进而提出了航空遥感影像成果检查的技术核心。本文对于其它生产单位应用Leica ADS80系统生产的高分辨率航空遥感影像成果的检查验收提供了可以借鉴的经验。     

地电观测专用高精度数据采集器研制

针对地震地电前兆观测,研制基于ARM9平台和32位模数转换器ADS1281的地电观测高精度数据采集系统,实现了高精度和低噪声采样.本文给出地电观测高精度数据采集系统的硬件设计、软件实现和系统指标测试结果.该系统采样率可设置为1次/s至100次/s,1至6通道任意配置,通信协议符合中国地震局地震前兆台网专用设备网络通信规程,可以满足地震地电传感器信号采集和网络接入需求.     

基于ADS40影像的海岛测图控制点需求分析

主要以ADS40数码影像资料为基础,针对典型海岛测区的控制点布设,制定不同的布点方案,通过空中三角测量作业及平差实验,比较各种方案的数字空中三角测量成果精度,论证得出最佳、最优的外业布点方案,为海岛的外业控制点布设提供指导及依据.     

利用ADS40相机快速生成正射影像图的方法研究

介绍了ADS40相机快速生成正射影像图的方法,即利用高精度POS设备能直接定向测图的特点,省去空三T序,利用POS解算出的外方位元素和自动提取的DEM进行正射影像纠正,结合实际生产项目对成图精度进行了分析。试验结果表明,ADS40相机应用于航测生产可大幅度缩短成图周期,利用本文的生产方法可以满足正射影像图精度要求,并节省大量时问,适用于应急测绘保障。     

基于Pixel Factory的ADS80影像快速处理方法

Pixel Factory系统是目前国内外最高端的影像快速处理系统,ADS80数码相机是目前主流的航空摄影测量系统,两套系统在各自的领域均具有其它系统无可比拟的优势。本文基于Pixel Factory影像快速处理系统,提供ADS80影像的处理方法,并用实际的生产数据进行试验。试验结果表明:利用Pixel Factory影像快速处理系统处理ADS80数码影像,可以大大减少外业控制,自动、快速、高效地获取高精度数字正射影像。     

ADS40数字航空摄影测量数据自动化处理

ADS40作为徕卡新的传感器,目前用于国内进行大规模航拍的不多.其数据生产自动化程度不高、保密性能差是现有生产流程中对于地方坐标系下数据处理时的主要问题.文中研究ADS40数据自动化处理方法,极大地简化现有数据生产流程、改进生产效率,并且保证了数据安全性.     

ADS 80航空摄影测量系统的特点与应用

仪器设备状况是航空摄影测量技术发展水平的标志。徕卡ADS 80基于航天传感器线阵扫描和全球定位系统、高精度的惯性导航定向系统（IMU）获取数字影像,利用该传感器进行航空摄影,不需经过扫描,就可以直接为数字摄影测量、遥感图像处理系统提供高分辨率的全色、真彩色、近红外数字影像,能够实现DLG数据的快速采集。与以往基于像对的...     

Mapping trees in high resolution imagery across large areas using locally variable thresholds guided by medium resolution tree maps

Large area tree maps, important for environmental monitoring and natural resource management, are often based on medium resolution satellite imagery. These data have difficulty in detecting trees in fragmented woodlands, and have significant omission errors in modified agricultural areas. High resolution imagery can better detect these trees, however, as most high resolution imagery is not normalised it is difficult to automate a tree classification method over large areas. The method developed here used an existing medium resolution map derived from either Landsat or SPOT5 satellite imagery to guide the classification of the high resolution imagery. It selected a spatially-variable threshold on the green band, calculated based on the spatially-variable percentage of trees in the existing map of tree cover. The green band proved more consistent at classifying trees across different images than several common band combinations. The method was tested on 0.5 m resolution imagery from airborne digital sensor (ADS) imagery across New South Wales (NSW), Australia using both Landsat and SPOT5 derived tree maps to guide the threshold selection. Accuracy was assessed across 6 large image mosaics revealing a more accurate result when the more accurate tree map from SPOT5 imagery was used. The resulting maps achieved an overall accuracy with 95% confidence intervals of 93% (90–95%), while the overall accuracy of the previous SPOT5 tree map was 87% (86–89%). The method reduced omission errors by mapping more scattered trees, although it did increase commission errors caused by dark pixels from water, building shadows, topographic shadows, and some soils and crops. The method allows trees to be automatically mapped at 5 m resolution from high resolution imagery, provided a medium resolution tree map already exists.