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11.
在数字摄像能见度观测系统 (DPVS) 中, 目标物的自身亮度难以实时测量, 给观测结果带来的不确定性不可忽略, 采用实用黑体技术可以大大减小乃至消除其造成的误差。作者对非黑体目标引起的测量误差进行了分析, 结果表明相对误差随着目标物反射率的增加和能见度的升高而增大, 为了保证测量精度, 需要采用反射率足够低的目标物。对于长方体结构的实用黑体腔, 采用多次反射法计算了其近轴向的半球-方向反射率与其特性参数之间的关系。在没有观测到侧壁的前提下, 其轴向反射率最大, 随着偏离轴线角度的增加, 反射率逐渐减小。轴向反射率随腔体长度与开口边长比值的增加而迅速减小, 而腔体宽度增加引起的变化不明显。另外, 作者还推导了在考虑弥散成像时对实用黑体开口尺寸最小需求的计算公式, 也给出了符合一定条件的实用黑体轴向反射率的近似计算公式, 从而提供了DPVS中实用黑体参数选择的基本原则。最后, 给出了DPVS采用非黑体和实用黑体目标计算能见度的对比试验结果, 充分说明了在DPVS中采用实用黑体技术的必要性和可行性。 相似文献
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吉林省地倾斜震前异常特征研究 总被引:1,自引:0,他引:1
本文清理了处震前地倾斜异常实例,总结了吉林省地倾斜震前异常特征。并从观测仪器特性和区域构造特点两个方面对异常特征作了分析和讨论。 相似文献
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Grant H. Thomson 《The Photogrammetric Record》2004,19(107):237-249
The introduction of digital cameras for aerial survey photography and use of scanners with processed aerial film present a number of technical questions concerning the way photography is to be acquired in the future. Among the questions to be addressed are the comparative metric properties of images acquired by each system and the associated image quality characteristics. The new digital camera systems will require very careful appraisal, using well-established methods of assessing metric quality already available to survey organisations. The questions concerning image quality are more difficult to answer, as they require very specialised instrumentation if measurements are to be made directly in practice. Over the course of the past several decades a more analytical approach to assessing image quality has emerged, and one that may be used by individuals. The method is particularly effective where information on the micro-image characteristics of products is made available by the manufacturers concerned. An outline is given of some considerations that need to be taken into account when using an analytical approach, with references given for further reading. 相似文献
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Exploration of remotely sensed forest structure and ultrasonic range sensor metrics to improve empirical snow models 下载免费PDF全文
Current methods to estimate snow accumulation and ablation at the plot and watershed levels can be improved as new technologies offer alternative approaches to more accurately monitor snow dynamics and their drivers. Here we conduct a meta‐analysis of snow and vegetation data collected in British Columbia to explore the relationships between a wide range of forest structure variables – obtained from Light Detection and Ranging (LiDAR), hemispherical photography (HP) and Landsat Thematic Mapper – and several indicators of snow accumulation and ablation estimated from manual snow surveys and ultrasonic range sensors. By merging and standardizing all the ground plot information available in the study area, we demonstrate how LiDAR‐derived forest cover above 0.5 m was the variable explaining the highest percentage of absolute peak snow water equivalent (SWE) (33%), while HP‐derived leaf area index and gap fraction (45° angle of view) were the best potential predictors of snow ablation rate (explaining 57% of variance). This study reveals how continuous SWE data from ultrasonic sensors are fundamental to obtain statistically significant relationships between snow indicators and structural metrics by increasing mean r2 by 20% when compared to manual surveys. The relationships between vegetation and spectral indices from Landsat and snow indicators, not explored before, were almost as high as those shown by LiDAR or HP and thus point towards a new line of research with important practical implications. While the use of different data sources from two snow seasons prevented us from developing models with predictive capacity, a large sample size helped to identify outliers that weakened the relationships and suggest improvements for future research. A concise overview of the limitations of this and previous studies is provided along with propositions to consistently improve experimental designs to take advantage of remote sensing technologies, and better represent spatial and temporal variations of snow. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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Kathleen M. Baker Andrew C. Johnson Caitlin N. Callahan Heather L. Petcovic 《制图学和地理信息科学》2016,43(2):176-187
Topographic maps and aerial photographs are particularly useful when geoscientists are faced with fieldwork tasks such as selecting paths for observation, establishing sampling schemes, or defining field regions. These types of images are crucial in bedrock geologic mapping, a cognitively complex field-based problem-solving task. Geologic mapping requires the geologist to correctly identify rock types and three-dimensional bedrock structures from often partial or poor-quality outcrop data while navigating through unfamiliar terrain. This paper compares the walked routes of novice to expert geologists working in the field (n = 66) with the results of a route planning and navigation survey of a similar population of geologists (n = 77). Results show clearly that those geologists with previous mapping experience make quick and decisive determinations about field areas from available imagery and maps, regardless of whether they are or not physically present in the field area. Recognition of geologic features enabled experts to form and verbalize a specific plan for travel through a landscape based on those features. Novices were less likely to develop specific travel route plans and were less likely to identify critical landscape cues from aerial photographs. 相似文献
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使用无人机实施测绘航空摄影时,由于无人机相对航高较低,地面起伏会对无人机影像的分辨率、覆盖范围、重叠度造成较大的影响,影像成果会出现分辨率不足、重叠度不够、覆盖漏洞等缺陷。针对这一情况,本文提出了一种利用数字微分正解法的计算方法,借助DEM准确计算每张影像的覆盖范围,并使用FME软件高效生成全部影像的覆盖范围。经过实际使用,验证了该方法可以在航线设计阶段准确预测并分析全部影像的覆盖范围、重叠度,因此可及时发现设计问题并调整航线。该方法可以有效减少因地形起伏造成的影像覆盖缺陷,减少返工现象,从整体上提高了作业效率。 相似文献
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