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目的随着合成孔径雷达(SAR)技术和分辨率的不断提高,越来越多的空间细节呈现在高分辨率SAR影像上。与此同时,SAR图像的数据量越来越大,人们对其应用需求也越来越高,这使得传统的基于像素的SAR处理方法不再适用。面向对象分析技术以像元集合——"对象"为分析单元,为高分辨率遥感图像处理提供了有效的思路,并日渐成为遥感、摄影测量以及GIS等领域所关注的对象和研究热点之一。目前该技术在光学遥感中已经得到了广泛的应用,但在SAR图像处理中的应用还处于起步阶段。方法本文在简要阐述面向对象分析技术起源和特点的基础上,对SAR图像面向对象技术中常用的多尺度分割算法进行了分类分析,接着对面向对象技术在SAR遥感的应用方向进行全面介绍,最后对面向对象技术在SAR上的应用进行了总结与展望。结果面向对象分析技术在SAR图像处理中的应用主要分为以下五个方面:地物分类、城市信息提取、变化检测、海洋应用、森林应用。结论面向对象分析技术在解决高分辨率SAR图像尺度效应、抑制噪声等方面有着重要作用。目前,国外学者在基于SAR的面向对象分析技术研究上已经取得了一定的进展,但总体上该技术仍面临诸多问题,需要进一步的研究和完善。 相似文献
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雷达遥感技术在水稻识别中的研究进展 总被引:1,自引:0,他引:1
合成孔径雷达技术拥有全天时、全天候、高分辨率和不受云层干扰的特点,利用SAR在我国水稻种植区进行水稻识别拥有无可比拟的优势。该文主要对雷达遥感技术在水稻识别和监测中的应用情况进行了综述。首先总结了合成孔径雷达的发展历史,介绍了目前用于水稻识别的SAR传感器的参数和特点;介绍了水稻的后向散射特性,根据水稻的后向散射模型分析了影响其后向散射系数的因素;综述了国内外利用SAR进行水稻识别的各种方法,并对未来利用SAR监测水稻进行了展望。 相似文献
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朱岱寅杨鸣冬宋伟叶少华 《数据采集与处理》2016,31(4):640-664
合成孔径雷达(Synthetic aperture radar,SAR)是一种有效的地球遥感技术,对观测区域进行全天时、全天候的高分辨率大范围成像,在军事侦察、环境监测和地质测绘等领域有着十分广泛的应用。随着雷达技术和地球科学的发展,人们期望能够获取更多的目标特性,传统的单极化SAR已经难以满足越来越多元化的实际应用需求。极化合成孔径雷达(Polarimetric synthetic aperture radar,PolSAR)基于多个极化通道获取目标不同极化状态下的散射特性丰富了SAR图像的信息量,拓展了SAR的应用领域。从极化数据中准确地解译目标的物理特性是PolSAR应用的重要前提。本文对PolSAR的研究进展进行了总结,重点介绍了极化目标分解算法,给出了高分辨率PolSAR实测数据处理结果,并对未来研究方向进行了展望。 相似文献
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随着合成孔径雷达(SAR)传感器技术的发展和获取信息的增多,如何有效地实现SAR图像的信息提取和解译,是当前亟待解决的关键问题。本文研究和综述了面向识别的SAR目标特性分析技术。首先,从SAR的成像原理出发,深入分析和探讨了影响SAR图像目标特性的主要因素;然后,系统总结了点状目标、线状目标和面状目标的一些特性分析和特征提取技术;最后,对SAR目标识别技术的未来发展方向进行了展望。 相似文献
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合成孔径雷达及其干涉技术研究进展 总被引:4,自引:0,他引:4
合成孔径雷达(Synthetic aperturer adar,SAR)能够在全天候、全天时条件下对地面进行大范围测绘,是现代民用遥感和军事侦察中的重要手段。本文回顾了SAR及干涉合成孔径雷达(InSAR)技术的历史,叙述了SAR由非聚焦到完全聚焦,由光学处理到全数字式处理,由二维测绘到干涉三维测绘的发展历程。通过例举典型系统,介绍了国外机载、空载SAR和InSAR技术的现状,并对我国近年来在该领域取得的进展作了简要介绍。最后,本文给出对SIR—C/X—SAR采集的航天飞机SAR数据处理所得到的成像结果。 相似文献
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《空间微波遥感研究与应用丛书》共10部学术专著已由科学出版社2019~2020年内出版.该丛书包括了我国科学工作者近年来在星载微波主动遥感的合成孔径雷达技术、被动遥感的气象和海洋卫星的地球遥感技术等领域的部分研究成果.合成孔径雷达领域包括了:星载高分辨率宽幅SAR、SAR图像信息解译应用软件、SAR图像智能解译、空天目... 相似文献
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极化合成孔径雷达测量海浪的研究 总被引:3,自引:1,他引:2
描述了极化合成孔径雷达海浪成像过程。提出了一种极化雷达反演海浪方向谱的方法,该方法利用合成孔径雷达图像谱与海浪方向谱之间简单的线性关系和最优方法反演得到海浪方向谱,并将结果与现场资料进行了比较。经过对同一海区机载雷达P、L、C 3个波段的图像进行反演,其方向谱相当一致,而且有效波高和波向与实测数据吻合相当好。 相似文献
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T. Xiong Yang J. W. Zhang W.‐M. Boerner 《International journal of remote sensing》2013,34(16):4871-4877
In this Letter, a method is proposed for interferometric synthetic aperture radar (SAR) phase unwrapping based on image segmentation. An auxiliary phase map was generated and the interferometric phase was divided into many connected regions without discontinuity by separation and combination operations. A local optimal strategy was used to combine these regions with as few discontinuities as possible. The coherence map is not necessary. The authors compared the proposed method with Goldstein's branch‐cut algorithm (BC) and the weighted multi‐grid algorithm (WMG), demonstrating the effectiveness of the proposed method. 相似文献
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Fabio Bovenga Davide Oscar Nitti Gianfranco Fornaro Fabio Radicioni Aurelio Stoppini Raffaella Brigante 《International journal of remote sensing》2013,34(11):4083-4104
This work presents an analysis of the applicability of synthetic aperture radar (SAR) interferometry to landslide monitoring. This analysis was carried out by using different interferometric approaches, different spaceborne SAR data (both in the C-band and in the X-band), and in situ global navigation satellite system (GNSS) measurements. In particular, we investigated both the reliability of displacement monitoring and the issues of the cross-comparison and validation of the interferometric synthetic aperture radar (InSAR) results. The work was focused on the slow-moving landslide that affects a relevant part of the urban area of the historical town of Assisi (Italy). A C-band ENVISAT advanced synthetic aperture radar (ENVISAT ASAR) dataset acquired between 2003 and 2010 was processed by using two different interferometric techniques, to allow cross-comparison of the obtained displacement maps. Good correspondence between the results was found, and a deeper analysis of the movement field was possible. Results were further compared to a set of GNSS measurements with a 7 year overlap with SAR data. A comparison was made for each GNSS marker with the surrounding SAR scatterers, trying to take into account local topological effects, when possible. Further, the high-resolution X-band acquired on both ascending and descending tracks by the COSMO-SkyMed (CSK) constellation was processed. The resultant displacement fields show good agreement with C-band and GNSS measurements and a sensible increase in the density of measurements. 相似文献
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ABSTRACTThis article proposed a novel active contour model based on adaptive global fitting energies to achieve accurate river extraction of synthetic aperture radar (SAR) images. First, inspired by the mean local fitted image in the local image fitting energy model, the mean global fitted image is defined. Second, to adapt to intensity characteristics of SAR images, we define another median global fitted image which can suppress the effect of interference regions. Then the energy functional of the proposed model is obtained by minimizing the differences between the original image and above two kinds of global fitted images. Moreover, the minimum absolute differences of pixel intensities inside object and background regions are utilized to adaptively adjust energies of object and background regions. The experimental results of river extraction of SAR images demonstrate that the proposed model can extract rivers of SAR images accurately and efficiently and has advantages in extraction performance and extraction efficiency. 相似文献
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《Pattern recognition letters》1986,4(4):305-314
The basic theory is described of multi-look processing of synthetic aperture radar (SAR) data from dynamic ocean surfaces. The principal effects inherent to multi-look SAR on the impulse response function are first illustrated using a moving point target model. The theory is then extended to the multi-look imagery of diffusely scattering ocean surface waves. Finally, the use of a sliding synthetic aperture is suggested to investigate the short life-times of small scale surface waves that are considered to be the predominant scatterers on the ocean surface. 相似文献
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A. M. Dean I. A. Brown B. Huntley C. J. Thomas 《International journal of remote sensing》2013,34(19):4347-4370
Detailed snowpack observations, meteorology, topography and landcover classification were integrated with multi‐temporal SAR data to assess its capability for landscape scale snowmelt mapping at the forest–tundra ecotone. At three sites along an approximately 8° latitudinal gradient in the Fennoscandian mountain range, 16 multi‐temporal spaceborne ERS‐2 synthetic aperture radar (SAR) were used for mapping snowmelt. Comparison of field measurements and backscatter values demonstrates the difficulty of interpreting observed backscatter response because of complex changes in snow properties on diurnal and seasonal temporal scales. Diurnal and seasonal melt–freeze effects in the snowpack, relative to the timing of ERS‐2 SAR image acquisition, effectively reduce the temporal resolution of such data for snow mapping, even at high latitudes. The integration of diverse data sources did reveal significant associations between vegetation, topography and snowmelt. Several problems with the application of thresholding for the automatic identification of snowmelt were encountered. These largely related to changes in backscattering from vegetation in the late stages of snowmelt. Due to the impact of environmental heterogeneity in vegetation at the forest–tundra ecotone, we suggest that the potential to map snow cover using single polarization C‐band SAR at the forest–tundra ecotone may be limited to tundra areas. 相似文献