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51.
月球光学遥感与制图研究进展 总被引:1,自引:0,他引:1
在月球探测活动中,光学成像探测是任务重点,也是信息量最大的数据源。航天技术和传感器技术的发展促进了月球光学遥感的发展,月球科学研究也越来越依赖于高分辨率遥感数据,对月球光学遥感与制图的研究是月球探测的关键问题之一。本文扼要论述了其中的几个方面,包括月球光学遥感数据获取系统、月球遥感立体测绘和制图,以及月球控制网构建等方面的研究进展。 相似文献
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基于时间序列统计特性的森林变化监测 总被引:1,自引:0,他引:1
森林动态变化分析对揭示生态系统环境变化及植被恢复和布局重建等具有重要意义,时间序列的遥感数据为森林监测提供了基础数据。本文根据森林植被的统计学特性,在暗目标法的基础上,利用归一化植被指数NDVI实现森林样本自动选择;并融合NDVI构建了新的综合森林特征指数(Integrated Forest Z-Score,IFZ);以时间序列的IFZ分析森林动态信息,实现森林变化动态监测。以三峡大坝及周边区域森林为研究区,利用2001年至2012年每年生长季节(5月—10月)的Landsat TM影像检验本文算法。基于2002年、2006年和2010年三期7月—9月的Quick Bird影像的精度分析结果发现:研究区森林变化检测的总体精度可达96.53%,Kappa系数为0.9512。在添加NDVI指数后构建的IFZ提高了总体监测精度。其中,毁林类别的检测精度提高显著,漏检率和误检率分别为2.74%和3.64%;干扰后重建的森林类别的检测精度有一定提高,其漏检率和误检率分别为10.79%和10.51%。研究结果表明,改进暗目标法能提高森林样本的选样效率,添加NDVI的IFZ能提高森林动态变化的识别度。此外,本算法不仅能定性识别森林变化,而且能定量提供森林干扰发生时间和干扰强度。 相似文献
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Diwakar Paudel Jay Krishna Thakur Sudhir Kumar Singh Prashant K. Srivastava 《国际地球制图》2015,30(2):218-241
Soil is a vital part of the natural environment and is always responding to changes in environmental factors, along with the influences of anthropogenic factors and land use changes. The long-term change in soil properties will result in change in soil health and fertility, and hence the soil productivity. Hence, the main aim of this paper focuses on the analysis of land use/land cover (LULC) change pattern in spatial and temporal perspective and to present its impact on soil properties in the Merawu catchment over the period of 18?years. Post classification change detection was performed to quantify the decadal changes in historical LULC over the periods of 1991, 2001 and 2009. The pixel to pixel comparison method was used to detect the LULC of the area. The key LULC types were selected for investigation of soil properties. Soil samples were analysed in situ to measure the physicochemical soil properties. The results of this study show remarkable changes in LULC in the period of 18?years. The effect of land cover change on soil properties, soil compaction and soil strength was found to be significant at a level of <0.05. 相似文献
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沈阳大气气溶胶光学特性及其影响因子 总被引:4,自引:0,他引:4
利用2010年3—10月沈阳大气成分监测站CE-318太阳光度计观测资料,计算沈阳大气气溶胶光学厚度和波长指数等大气光学特性参数,结合地面气象观测资料,分析大气气溶胶光学特性及其影响因子。结果表明:沈阳气溶胶光学厚度在3—6月较高,8月较低,9—10月气溶胶光学厚度略有增加;除4月和8月外,气溶胶光学厚度与风速基本呈反相关;气溶胶光学厚度与可吸入颗粒物(particulate matter,PM)质量浓度变化趋势基本一致;气溶胶光学厚度日平均值距平的绝对值、改变率均与降水强度成正比;地面能见度与气溶胶光学厚度呈负相关。由气溶胶浑浊度系数计算的能见度在4—6月与实际观测的能见度基本吻合,由气溶胶标高计算的水平能见度整体小于实际观测的水平能见度。 相似文献
56.
Sandwich pipes (SP), a composite structure consisting of two concentric steel tubes and a polymeric or cement-based core has been proposed to be well-insulated and withstand high installation and operational loads in deepwater oil and gas field. In the paper, the post-buckling responses and pressure capacity of sandwich pipes filled with the solid polypropylene annular were investigated. The degree of the inter-layer adhesion condition between the core layer and the surrounding pipes was modeled by the contact surfaces adopting different maximum shear strength values to allow the relative displacement between the layers. The effects such as inter-layer adhesion interactions, thickness-to-radius ratios, the core thickness, the material parameters, the relative initial ovality directions and the inelastic anisotropy on the collapse pressure of SPs were discussed. More than 2000 finite element (FE) models of the sandwich pipes with practical configurations were constructed and analyzed using the programming language Python within the FE software package ABAQUS. Based on the FE results, a simplified equation was developed and recommended for the collapse pressure calculation of sandwich pipes with the polypropylene annular. 相似文献
57.
基于小波变换和HIS变换的海冰SAR与光学遥感影像融合方法研究 总被引:3,自引:2,他引:1
Sea ice as a disaster has recently attracted a great deal of attention in China. Its monitoring has become a routine task for the maritime sector. Remote sensing, which depends mainly on SAR and optical sensors, has become the primary means for sea-ice research. Optical images contain abundant sea-ice multi-spectral information, whereas SAR images contain rich sea-ice texture information. If the characteristic advantages of SAR and optical images could be combined for sea-ice study, the ability of sea-ice monitoring would be improved. In this study, in accordance with the characteristics of sea-ice SAR and optical images, the transformation and fusion methods for these images were chosen. Also, a fusion method of optical and SAR images was proposed in order to improve sea-ice identification. Texture information can play an important role in sea-ice classification. Haar wavelet transformation was found to be suitable for the sea-ice SAR images, and the texture information of the sea-ice SAR image from Advanced Synthetic Aperture Radar(ASAR) loaded on ENVISAT was documented. The results of our studies showed that, the optical images in the hue-intensity-saturation(HIS) space could reflect the spectral characteristics of the sea-ice types more efficiently than in the red-green-blue(RGB) space, and the optical image from the China-Brazil Earth Resources Satellite(CBERS-02B) was transferred from the RGB space to the HIS space. The principal component analysis(PCA) method could potentially contain the maximum information of the sea-ice images by fusing the HIS and texture images. The fusion image was obtained by a PCA method, which included the advantages of both the sea-ice SAR image and the optical image. To validate the fusion method, three methods were used to evaluate the fused image, i.e., objective, subjective, and comprehensive evaluations. It was concluded that the fusion method proposed could improve the ability of image interpretation and sea-ice identification. 相似文献
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