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2008 International Workshop on Earth Observation and Remote Sensing Applications最新文献

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Detecting ground deformation with Permanent scatterer of Suzhou region 用永久散射体探测苏州地区地面变形
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620304
W. Gong, Jixian Zhang, Yonghong Zhang
Permanent scatterer interferometry is one of the latest developments in radar interferometric processing. It is achieved by the analysis of the interferometric phase of the individual point targets that are discrete and temporarily stable natural reflectors or permanent scatterers in long temporal series of interferometric SAR images with one master image. The wrapped phase of a point in differential interferogram can be decomposed to uncompensated topography, target motion in the time between the acquisitions, object scattering phase related to the path length traveled in the resolution cell, the atmospheric phase accounting for signal delays, the phase caused by imprecise orbit data and additive noise term. Based on this principle, it could bypass the problem of geometrical and temporal decorrelation. Furthermore, by using a large amount of data, atmospheric signal is estimated and corrected for. This paper addresses the how we use the PS-InSAR technology and Differential Interferogram procedure to estimate the velocity of deformation of Suzhou region in the time span 1992-2002. The main processing is done with the GAMMA software.
永久散射体干涉是雷达干涉处理的最新发展之一。它是通过分析具有一个主图像的长时间序列干涉SAR图像中离散的、暂时稳定的自然反射体或永久散射体的单个点目标的干涉相位来实现的。差分干涉图中点的包裹相位可以分解为未补偿的地形相位、目标在采集时间内的运动、与分辨率单元中行进路径长度相关的目标散射相位、考虑信号延迟的大气相位、不精确轨道数据和加性噪声项引起的相位。基于这一原理,它可以绕过几何和时间去相关的问题。此外,利用大量数据对大气信号进行了估计和校正。本文介绍了利用PS-InSAR技术和差分干涉图方法对苏州地区1992-2002年的形变速度进行估计的方法。主要处理是用GAMMA软件完成的。
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引用次数: 2
An efficient method for extracting road lane mark by fusing vehicle-based stereo image and laser range data 基于车辆立体图像和激光距离数据融合提取道路车道标记的有效方法
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620324
Y. Shi, R. Shibasaki, Z. Shi
Nowadays, an integration of real-time sensing and map reference from vehicles would be very effective to achieve a complete Cruise-Assist system such as what can make a driver avoid a traffic accident. However, existing digital road maps such as network data or simple 3D data for vehicle navigation cannot support Cruise-Assist well, in particular, in an urban area. In fact, various road features such as zebra, road lane mark, and boundary are required for accurate map reference, and more, those features should have higher precision and more detail information. But, so far it is labor-intensive and costly for acquiring this kind of road spatial data, therefore, an efficient method, which can acquire that kind of spatial data automatically and robustly, is required. This research focuses on efficient acquisition of road lane mark and carries out a method for extracting them by fusing vehicle-based stereo image and laser range data. A lot of experiments were performed to certify and check the efficiency of our fusion-based automatic road lane mark extraction method. From achieved results of these experiments, our fusion-based automatic extraction of road lane mark can get high success ratio (more than 90%).
如今,将车辆的实时传感和地图参考相结合将非常有效地实现完整的巡航辅助系统,例如使驾驶员避免交通事故。然而,现有的数字道路地图,如网络数据或用于车辆导航的简单3D数据,不能很好地支持Cruise-Assist,特别是在城市地区。事实上,准确的地图参考需要各种道路特征,如斑马、车道标记、边界等,而且这些特征应该具有更高的精度和更多的细节信息。但是,目前此类道路空间数据的获取劳动强度大,成本高,因此需要一种能够自动、鲁棒地获取此类空间数据的高效方法。针对道路车道标记的高效获取问题,提出了一种融合车载立体图像和激光距离数据的道路车道标记提取方法。大量的实验验证了基于融合的道路车道标记自动提取方法的有效性。从实验结果来看,基于融合的道路车道标记自动提取成功率较高(90%以上)。
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引用次数: 6
Comparison study on the pixel-based and object-oriented methods of land-use/cover classification with TM data 基于像元与面向对象的TM数据土地利用/覆被分类方法比较研究
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620294
Cui Lin-li, Shi Jun, Tang Ping, Huaqiang Du
In recent years the land-use/cover change is one of the important points of the global climate change. The remote sensing techniques provide strong support to the study on the wide land-use/cover change. Because of the common existing of same object having different spectral character and different object having same spectral character, the classification accuracy of traditional pixel-based has not yet satisfied the need of the monitor of the land-use/cover change. The newly object-oriented method opens a new path for the remote sensing classification. The biggest contribution is that the new method makes the theory of the abstraction of the remote sensing characteristics be perfect. Originally, it is difficult to extract the relationship of shape, location and space, now the object-oriented method makes it be possible in the condition with remote sensing data of higher spatial resolution. In this paper, these two methods ware carried out for TM data based on spectral, texture, and shape features, and the classification accuracy was compared and analyzed with that of man-expert visual interpretation. The results show that (1) TM data are also fit to the method of object-oriented classification. (2) The accuracy of object-oriented method is higher than that of pixel-based method, and the classification result has less pepper-and-salt noise, omitting trivial classification past-processing. (3) The optimal texture features group by the two methods is very similar in the smaller calculation window. (4) The classification effects with shape feature in TM data source are not outstanding.
土地利用/覆被变化是近年来全球气候变化的重要内容之一。遥感技术为广泛的土地利用/覆被变化研究提供了有力的支持。由于同一地物具有不同光谱特征和不同地物具有相同光谱特征的情况普遍存在,传统的基于像元的分类精度还不能满足土地利用/覆被变化监测的需要。这种新的面向对象方法为遥感分类开辟了新的途径。该方法最大的贡献是使遥感特征的抽象理论更加完善。原本难以提取形状、位置和空间之间的关系,而面向对象的方法使得在遥感数据具有较高空间分辨率的情况下提取形状、位置和空间之间的关系成为可能。本文对基于光谱、纹理和形状特征的TM数据进行了这两种方法的分类,并与人工专家视觉解译的分类精度进行了比较分析。结果表明:(1)TM数据也适合面向对象的分类方法。(2)面向对象方法的准确率高于基于像素的方法,分类结果的椒盐噪声更少,省去了琐碎的分类过去处理。(3)在较小的计算窗口下,两种方法得到的最优纹理特征组非常相似。(4) TM数据源的形状特征分类效果不突出。
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引用次数: 12
Estimation of summer paddy in Haryana (India) using high resolution satellite data 利用高分辨率卫星数据估算哈里亚纳邦(印度)夏季水稻
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620307
R. S. Hooda, M. Yadav, Mithun Sharma, R. Prawasi
Multi-date LISS-III data from Resourcesat for the period April to June, 2006 and single date LISS-IV sensor data of mid May, wherever available, was used for area estimation of the crop for the year 2006 for four major districts of Haryana state where majority of summer paddy is grown. For area estimation for the year 2000, only multi-date LISS-III data was used. Hybrid approach of supervised and unsupervised classification was used for discrimination of minor crops in LISS-IV data. Multi-date LISS-III data based crop profile helped in precise location of training sites for LISS-IV data. To improve accuracy the non- agricultural areas like settlements, wastelands, forest etc. were masked out by using non-agricultural mask. Study indicated that an area of 39,800 ha was under summer paddy in the year 2000 which has been reduced to 1250 ha in the year 2006 in all the four districts. The district wise area for Fatehabad, Kaithal, Kurukshetra and Karnal was 4981, 3228, 9118 and 22475 ha for the year 2000 and 383, 197, 176 and 493 ha for the year 2006, respectively. District-wise crop maps of summer paddy, showing extent & distribution of the crop, were also prepared in ARC/GIS.
2006年4月至6月期间来自Resourcesat的多日期LISS-III数据和5月中旬的单日期LISS-IV传感器数据(只要有)用于哈里亚纳邦四个主要地区的2006年作物面积估计,这些地区主要种植夏季水稻。2000年的面积估计只使用了多日期LISS-III数据。采用监督与非监督混合分类方法对LISS-IV数据中的小作物进行判别。基于多日期LISS-III数据的作物剖面有助于精确定位LISS-IV数据的训练地点。利用非农业掩模对居民点、荒地、森林等非农业区域进行掩模,以提高精度。研究表明,2000年4个地区的夏水田面积为39800公顷,到2006年已减少到1250公顷。2000年,Fatehabad、Kaithal、Kurukshetra和Karnal的地区智慧面积分别为4981、3228、9118和22475公顷,2006年分别为383、197、176和493公顷。还在ARC/GIS中编制了夏稻的地区作物分布图,显示了作物的范围和分布。
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引用次数: 6
Evaluation of atmospheric correction using FLAASH 利用FLAASH对大气校正的评价
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620341
Jinguo Yuan, Z. Niu
This paper evaluated the capability of FLAASH in ENVI software to make atmospheric correction for Hyperion hyperspectral image and ALI image. Hyperion and ALI sensors are two of the three instruments onboard NASA EO-1 satellite, New Millennium Program (NMP) launched on November 21, 2000, and Hyperion is the first spaceborne hyperspectral imaging spectrometer. The study area is Zhangye city (37deg28'N-39deg57'N, 97deg20'E-102deg12'E) in Heihe River valley of Gansu province, China. Using TM data with UTM projection, Hyperion hyperspectral data acquired on September 10, 2007 and ALI data on September 20, 2007 were geometrically and radiometrically corrected, and then atmospherically corrected using FLAASH. Surface reflectance spectra of corn, water body, desert and buildings were extracted from these two images and made comparison with apparent reflectance. Canopy reflectance spectra of corn were recorded using ASD Fieldspec spectroradiometer in near-real time to coincide with EO-1 satellite sensor overpass. According to filter function of ALI and central wavelength and Gaussian filter function based on full width at half maximum (FWHM) of Hyperion, the ASD reflectance spectra were resampled to corresponding Hyperion and ALI bands. Results showed that resampled ASD spectra of corn were consistent with spectra on Hyperion and ALI images after FLAASH. This demonstrated the effectiveness of atmospheric correction using FLAASH.
本文评价了ENVI软件中flash对Hyperion高光谱图像和ALI图像进行大气校正的能力。Hyperion和ALI传感器是2000年11月21日发射的新千年计划(NMP) EO-1卫星上的三个仪器中的两个,Hyperion是第一个星载高光谱成像光谱仪。研究区位于甘肃省黑河流域的张掖市(37°28′n -39°57′n, 97°20′e -102°12′e)。利用TM数据和UTM投影,对2007年9月10日的Hyperion高光谱数据和2007年9月20日的ALI高光谱数据进行几何和辐射校正,然后利用FLAASH进行大气校正。提取玉米、水体、沙漠和建筑物的表面反射率光谱,并与视反射率进行比较。利用ASD Fieldspec光谱仪近实时记录玉米冠层反射光谱,并与EO-1卫星传感器立交桥重合。根据ALI和中心波长的滤波函数和基于Hyperion半峰全宽度的高斯滤波函数,将ASD反射光谱重采样到对应的Hyperion和ALI波段。结果表明,重采样后的玉米ASD光谱与Hyperion和ALI图像上的光谱一致。这证明了FLAASH大气校正的有效性。
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引用次数: 2
Right-angle building extraction based on graph-search algorithm 基于图搜索算法的直角建筑提取
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620295
S. Cui, Q. Yan, Zhenjun Liu
This paper presents a novel graph search schema for right-angle building extraction from high resolution aerial and satellite image subsets which contain a building. As the schema is a edge-driven and bottom-up approach, emphasis is put on elimination of spurious and insignificant low-level image features. In real-world, most buildings are comprised of several sequential corners. We classify the corners into four types according to the orientations of constructing edges. Each type of corners is labeled with a tag to identify the corner, such as ABCD, etc. Based on analysis of right-angle buildings, a set of geometric constraint rules could be derived. Such geometric constraints could then be used in graph construction. Different from tranditional approaches, this proposed approach is implemented by a graph search algorithm to reconstruct building shape.
本文提出了一种从包含建筑物的高分辨率航空和卫星图像子集中提取直角建筑物的新图搜索模式。由于该模式是一种边缘驱动和自下而上的方法,因此重点是消除虚假和不重要的底层图像特征。在现实世界中,大多数建筑都由几个连续的角落组成。我们根据构造边的方向将角分为四种类型。每种类型的角都有一个标签来标识该角,如ABCD等。通过对直角建筑的分析,推导出一套几何约束规则。这样的几何约束可以用于图的构造。与传统方法不同的是,该方法通过图搜索算法实现建筑物形状的重建。
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引用次数: 6
Semi-automatic building extraction from high resolution imagery based on segmentation 基于分割的高分辨率图像半自动建筑物提取
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620311
N. Jiang, J. Zhang, H. T. Li, Xiangguo Lin
Recently, more and more high resolution remote sensing images appear, and they provide new data source for building extraction. Some building extraction methods are proposed to adapt to this trend. This paper addresses a semi-automatic method that combines segmentation and region selection. First, mean shift segmentation is applied to the image, and then the region extraction is implemented through the interactively selection of building parts. Edge detection is also involved to get the boundary of buildings. At last, the paper gives the contrast of the unsupervised classification ISODATA result and this extraction method.
近年来,越来越多的高分辨率遥感影像出现,为建筑物提取提供了新的数据来源。针对这一趋势,提出了一些建筑物提取方法。本文提出了一种结合分割和区域选择的半自动方法。首先对图像进行均值偏移分割,然后通过交互式选择建筑部位实现区域提取。为了得到建筑物的边界,还涉及到边缘检测。最后,将无监督分类结果与该提取方法进行了对比。
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引用次数: 29
Study on decision tree land cover classification based on MODIS data 基于MODIS数据的决策树土地覆被分类研究
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620327
Changyao Wang, Zitao Du, Zhengjun Liu, Y. Liu
There are two popular decision tree calculations in the international world - CART and C4.5, and boosting and bagging technology, which are new classification technology in mechanical study field. To study the decision tree and new technologypsilas use in remote sensing classification, we use 250 m resolution data of northeast China to do land cover and classification study. The result shows that a decision tree can improve classification accuracy to better than MLC when there is a large enough training sample, but when there is not enough sample, its performance is worse than MLC. It is also found that, in production of a decision tree, CART is better than C4.5 in classification accuracy and tree structure, while improvement of classification accuracy is up to the construction of tree structure and trimming. When boosting is introduced to CART, the classification accuracy is improved to 25.6% from 18.5%.
目前国际上比较流行的两种决策树计算方法——CART和C4.5,以及机械研究领域的新型分类技术——助推和装袋技术。为了研究决策树和新技术在遥感分类中的应用,我们利用中国东北地区250 m分辨率数据进行了土地覆盖和分类研究。结果表明,在训练样本足够大的情况下,决策树的分类准确率提高到优于MLC,而在样本不足的情况下,决策树的分类准确率低于MLC。我们还发现,在决策树的制作中,CART在分类精度和树形结构上都优于C4.5,而分类精度的提高取决于树形结构的构建和修剪。在CART中引入boosting后,分类准确率从18.5%提高到25.6%。
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引用次数: 2
Comparison of seasonal change detection from multi-temporal MODIS and TM images in Southern Ontario 安大略省南部多时相MODIS和TM影像季节变化检测的比较
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620292
Dongmei Chen, Jamie Fitzgibbon
In this paper a change detection study was conducted using multi-temporal images from two commonly used sensors, MODIS and TM, between June and October, 2003 over Southern Ontario, Canada to evaluate the sensitivity of MODIS images for seasonal land cover changes. Post-classification change detection was used to determine the type of change that had occurred and allow for from-to types of changes to be evaluated. NDVI image differencing was also performed on the MODIS and TM images to compare the vegetation index changes at different spatial resolutions. It was found that MODIS classifications approximated those produced with TM data only when incorporating the thermal band in the classification procedure which takes advantage of the urban heat island effect. Results demonstrate that MODIS post-classification change detection can approximate the levels of change/no-change compared to TM post-classification however the type of change was not accurate due to the spectral mixing that occurs at the coarser 250 meter spatial resolution of MODIS data. The more change at TM level for a MODIS pixel, the higher the likelihood of this corresponding to change at the MODIS level. This study demonstrates that MODIS data would be best suited for detecting changes in large agricultural areas with large field size of homogeneous crop type and growth stage or large areas of forest stands with similar characteristics.
利用2003年6 - 10月加拿大南安大略省地区MODIS和TM两种常用遥感影像的多时相变化检测研究,评价MODIS影像对季节性土地覆盖变化的敏感性。分类后变更检测用于确定已经发生的变更类型,并允许评估从到类型的变更。对MODIS和TM影像进行NDVI影像差分,比较不同空间分辨率下植被指数的变化。利用城市热岛效应将热带纳入分类过程时,MODIS的分类结果与TM的分类结果较为接近。结果表明,与TM分类后相比,MODIS分类后的变化检测可以近似地反映变化/无变化的水平,但由于MODIS数据在较粗的250 m空间分辨率下发生光谱混合,变化类型不准确。MODIS像元在TM水平上的变化越多,对应MODIS水平变化的可能性越高。本研究表明,MODIS数据最适合于监测作物类型和生长阶段均质、大田面积较大的大型农业区或具有相似特征的大面积林分的变化。
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引用次数: 1
Classification of grassland types in ibet by MODIS time-series images 基于MODIS时序影像的青藏高原草地类型分类
Pub Date : 2008-09-05 DOI: 10.1109/EORSA.2008.4620333
Q. Wen, Shuo Liu, Zengxiang Zhang, Wei Qiao
As one of the five biggest pasturing areas of China, natural grassland in Tibet Autonomous Region, accounts for about 21% of the total area of Chinese natural grassland. Classification of rangeland types is a basic and significant study in stockbreeding. Utilizing the advantages of high temporal resolution of MODIS to construct time series EVI during the grass growth period, dividing large study area to individual regions via altitude and latitude, the paper classifies grassland in Tibet Autonomous Region to 6 types, meadow steppe, typical steppe, desert steppe, high-cold meadow steppe, high-cold typical steppe and shrub herbosa, successfully. This work is one part of the project-land cover mapping of China based on remote sensing images We provide land managers with map of the grassland types and area value of each grassland type in Tibet Autonomous Region in 2005. Average EVI of each grassland types during growth period is induced to reflect relative grass biomass among each type. Shrub herbosa has the biggest average EVI, followed with meadow steppe, high-cold meadow steppe, typical steppe, high-cold typical steppe. Desert steppe has the lowest average EVI.
西藏自治区天然草地面积约占中国天然草地总面积的21%,是中国五大牧区之一。草地类型分类是畜牧业研究的基础和重要内容。利用MODIS高时间分辨率的优势,构建牧草生长期时间序列EVI,根据海拔和纬度将研究区域划分为单个区域,将西藏自治区草地划分为草甸草原、典型草原、荒漠草原、高寒草甸草原、高寒典型草原和灌丛草本6种类型。本工作是“基于遥感影像的中国土地覆被制图”项目的一部分,为土地管理者提供了2005年西藏自治区草地类型图和各草地类型面积值。通过诱导各草地类型生长期的平均EVI来反映各草地类型间的相对生物量。灌木草本植物的平均EVI最大,依次为草甸草原、高寒草甸草原、典型草原、高寒典型草原。荒漠草原的平均EVI最低。
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引用次数: 1
期刊
2008 International Workshop on Earth Observation and Remote Sensing Applications
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