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1.
一种提高CCD成像卫星空间分辨率的方法研究   总被引:10,自引:0,他引:10  
从卫星硬件设计与地面软件处理相结合的角度出发,建立了一套提高卫星图像空间分辨率的方法。对模拟靶标图像、一航景物图像、遥感图像分别进行了不同分辨率成像效果的计算机模拟。结果表明,所建立的卫星图像空间分辨率提高理论是正确的,使卫星图像空间分辨率提高2倍甚至更多在理论上是可行的。这一研究成果的实际应用,将会提高卫星的空间分辨率,也可以在保持卫星分辨率的条件下,缩小光学仪器的焦距,使卫星相机小型化,减小其体积和重量。  相似文献   

2.
王光辉  徐世昌  陈标 《遥感学报》2005,9(2):138-142
在卫星遥感中,需要校正因地球形状、地球自转、卫星轨道变化以及姿态偏离等因素造成的图像畸变。分析了卫星姿态偏离对AVHRR图像横向比例畸变和纵向扭曲畸变的影响,指出与地球曲率一样,卫星滚动也可使图像产生横向比例畸变,并提出了相应的校正模型。  相似文献   

3.
基于SPOT-5卫星遥感图像融合配准技术研究   总被引:1,自引:0,他引:1  
本文针对Spot-5卫星遥感图像的融合处理,介绍了配准融合的基本概念和实际处理方法,通过试验研究。分析了Spot-5卫星遥感图像配准融合处理中应注意的关键问题,可为大批量、大区域卫星遥感图像的融合生产提供技术指导。  相似文献   

4.
基于K-均值方法的CBERS02卫星图像分类研究   总被引:1,自引:0,他引:1  
CBERS02卫星是一颗中分辨率卫星,利用CBERS卫星图像进行国土资源利用调查具有成本低、效率高的优点。本文利用K-均值聚类方法对CBERS02卫星图像进行分类处理,获得土地利用信息,为国土资源的科学管理提供了良好的帮助。  相似文献   

5.
本文主要讨论了利用空间投影一空间斜墨卡托(SOM)投影进行卫星遥感图像精纠正与定位,解决缺少控制点地区卫星遥感图像精纠正与定位问题,并根据正反算公式讨论了卫星遥感图像纠正的空间投影数学基础。  相似文献   

6.
Landsat8卫星遥感数据预处理方法   总被引:1,自引:0,他引:1  
Landsat系列卫星是由美国航空航天局和美国地质调查局共同管理的资源遥感系列卫星,40多a来为地球遥感探测活动提供了大量清晰而稳定的图像数据。卫星遥感数据预处理是获取优质遥感基础图像的第一步,对后续各级卫星遥感产品的质量有着很重要的影响。针对Landsat8卫星原始数据,对卫星下传所采用的空间数据传输协议和数据传输格式进行了详细的解析,分析了原始数据从解同步、数据帧解析、任务数据包解析、图像数据获取直到生成0级图像产品的步骤;特别针对存在无损数据压缩的陆地成像仪(operational land imager,OLI)数据,讨论了基于空间数据系统咨询委员会(consultative committee for space data systems,CCSDS)相关标准进行无损数据解压缩处理的方法和过程。经数据预处理得到的Landsat8卫星0级图像产品,可为Landsat8卫星数据应用提供优质的基础图像。  相似文献   

7.
现代战争为卫星遥感图像的应用提供了更加广阔的天地,卫星遥感图像军事应用的广度与深度都提高到一个新阶段。  相似文献   

8.
采用卫星遥感方法制作的数字正射影像是获取基础空间信息最快速、高效的手段,利用高精度卫星遥感成图,处理速度快、工艺简便、图像清晰,而且精度达到成图要求。本文介绍了以高分辨率的QuickBird卫星影像为研究对象,利用ERMapper图像处理系统进行图像的几何校正、全色与多光谱数据融合方法与过程。  相似文献   

9.
基于多源卫星图像融合的水坝检测方法的研究   总被引:2,自引:1,他引:2  
邱丹丹  马洪超  杨耘  贾鹏 《遥感学报》2006,10(4):449-455
本文提出了一种基于多源卫星图像融合的水坝检测方法,该方法在特征级融合的模式下,利用多源卫星图像特征信息互补的优势,先后提取多个卫星图像中目标的特征信息,再通过多传感器数据融合方法中的逻辑模板法对特征进行融合,得到系统的目标结果输出。试验结果显示,该算法能在大幅复杂背景下有效地对水坝进行检测并定位,并减少了单源卫星图像进行目标检测的错判、误判率。整个算法能完全实现自动检测,可达到预想的目的。  相似文献   

10.
北京一号小卫星多光谱图像波段配准和图像变形评价   总被引:1,自引:1,他引:1  
陈正超  罗文斐  张浩  刘翔  张靓 《遥感学报》2006,10(5):690-696
北京一号小卫星是中国和英国联合研制的一颗实用型、对地观测微小卫星,星上携带中分辨率32m多光谱(近红外、红和绿波段)和4m全色两种有效载荷。为了提高多光谱图像的宽度和时间分辨率,北京一号小卫星的每个多光谱波段都是由两个相机独立成像然后拼接而成。由于这种成像方式很难保证6个相机的主光轴平行,导致图像配准精度较低。针对北京一号小卫星的这种成像特点,本文在图像灰度交叉相关匹配的基础上,发展了一种高精度波段配准算法来评价北京一号小卫星的波段配准精度,并在波段配准的基础上,评价北京一号小卫星多光谱图像的变形一致性。  相似文献   

11.
Three-Dimensional Geopositioning Accuracy of Ikonos Imagery   总被引:3,自引:0,他引:3  
An investigation of the accuracy potential of Ikonos 1m satellite imagery is reported. Three sensor orientation/triangulation models are applied to stereo- and three-image configurations of "Geo" imagery with the aim of achieving 3D geopositioning to sub-metre accuracy. The models considered comprise rational functions with bias compensation, affine projection and the direct linear transformation. Test results from the Melbourne Ikonos Testfield are reported and these show that with modest provision of good quality ground control, Ikonos "Geo" imagery can yield 3D object-point determination to an accuracy of 0.5m in planimetry and 0.7m in height. The accuracy achieved is not only consistent with expectations for rigorous sensor orientation models, but is also readily attainable in practice with only a small number of ground control points being required  相似文献   

12.
Earth observation satellites with 1m resolution, such as Space Imaging's Ikonos system, offer the photogrammetric and remote sensing communities a significant new means for geospatial information collection. These satellites possess the potential for pixel-level geopositioning precision and promise timely, highly automated generation of two dimensional (2D) and three dimensional (3D) spatial information products. This paper concentrates on the pursuit of optimal accuracy and considers an essential first step in the evaluation of the Ikonos imaging system, namely the metric integrity of the sensor system. In the absence of sensor calibration information (the camera model), an empirical evaluation approach has been adopted. This involves an assessment of 2D transformations between image and planar object space. It is shown that based on results obtained in the Melbourne Ikonos Testfield, 2D geopositioning to 0.5 m accuracy is possible from the base-level "Geo"product when a modest amount of good quality ground control is available and sub-pixel image mensuration is achieved. These findings are applicable to both near-nadir imagery and oblique stereo images. Moreover, the results obtained suggest that there are no significant geometric perturbations in the sensor system and initial image processing, which augurs well for the successful application of non-collinearity based 3D orientation and triangulation models for Ikonos imagery.  相似文献   

13.
面向对象分类提取高分辨率多光谱影像建筑物   总被引:1,自引:0,他引:1  
谭衢霖  高姣姣 《测绘工程》2010,19(4):30-33,38
初步测试利用基于知识规则的面向对象分类方法从高分辨率Ikonos卫星影像上提取建筑物,包括:融合1 m全色和4 m多光谱波段影像,生成1 m分辨率的多光谱融合影像;分割融合影像;利用影像对象的光谱和空间特征执行基于对象的分类。面向对象分类提取结果与传统的基于像元最大似然分类结果进行对比,表明面向对象分类方法更适用于提取高分辨率遥感影像中的建筑物。  相似文献   

14.
Similar to many advanced approaches in multisensor image analysis, image information mining (IIM) is hampered by sensor-specific differences in spatial resolution and spectral response. This study examines the representation of semantic categories integrating Ikonos and Quickbird imagery in the knowledge-based information mining system KIM. A processing sequence is presented, which accounts for sensor-related differences along with an evaluation of the application of IIM technologies in operational rapid-mapping scenarios.   相似文献   

15.
As a model for sensor orientation and 3D geopositioning for high-resolution satellite imagery (HRSI), the affine transformation from object to image space has obvious advantages. Chief among these is that it is a straightforward linear model, comprising only eight parameters, which has been shown to yield sub-pixel geopositioning accuracy when applied to Ikonos stereo imagery. This paper aims to provide further insight into the affine model in order to understand why it performs as well as it does. Initially, the model is compared to counterpart, ‘rigorous’ affine transformation formulations which account for the conversion from a central perspective to affine image. Examination of these rigorous models sheds light on issues such as the effects of terrain and size of area, as well as upon the choice of reference coordinate system and the impact of the adopted scanning mode of the sensor. The results of application of the affine sensor orientation model to four multi-image Ikonos test field configurations are then presented. These illustrate the very high geopositioning accuracy attainable with the affine model, and illustrate that the model is not affected by size of area, but can be influenced to a modest extent by mountainous terrain, the mode of scanning and the choice of object space coordinate system. Above all, the affine model is shown to be both a robust and practical sensor orientation/triangulation model with high metric potential.  相似文献   

16.
Bathymetric estimation using remote sensing images has previously been applied to high spatial resolution imagery such as CASI, Ikonos, or SPOT but not on medium spatial resolution images (i.e., MERIS). This choice can be justified when there is a need to map the bathymetry on large areas. In this letter, we present the results of the bathymetry estimation over a large known area, the Gulf of Lion (France), expanding over 270times180 km  相似文献   

17.
Fuzzy Logic System for Road Identification Using Ikonos Images   总被引:1,自引:0,他引:1  
Research into both extraction of man-made objects and automatic change detection from aerial and satellite images has made significant progress in recent years. This paper presents an approach, based on a fuzzy logic system, for the identification of suburban roads in Ikonos images. The linguistic variables are the mean and standard deviation (SD) of different objects with Gaussian membership function. After the roads have been identified provisionally and their skeleton extracted, the skeleton can be vectorised and then used as direct input to a GIS for further analysis. The method was tested on an Ikonos "Geo" image covering Bilesavar in north-western Iran. For the suburban area of Bilesavar, the results showed that grey scale values ranged from 20 to 190 for non-roads and 226 to 228 for roads, the optimum width of the Gaussian kernel function was 3 and the SD was 0.4. It was also found that about 91% of main roads with a width of 6 to 12 pixels could be extracted from high resolution satellite imagery by the algorithm. The computer program for this study has been developed in visual C++ based on Windows 98  相似文献   

18.
选取以地下开采方式为主的白银煤矿区为研究区,以IKONOS卫星影像数据为主要信息源,在遥感解译与野外验证的基础上,对研究区内矿山环境的现状进行了分析。研究表明IKONOS融合图像对于煤矿区的监测效果理想,较好地实现了对矿业活动占地情况、矿山地质灾害以及矿山周边环境的监测。  相似文献   

19.
考虑到同轨道拍摄的长条带卫星影像具有相同的误差分布特性,针对资源三号的标准景影像产品,提出了基于轨道约束的卫星影像区域网平差方法。首先,根据同轨相邻影像的偏移量计算轨道影像坐标系下的像点坐标;其次,通过同轨每景影像的RFM重新生成轨道影像的RFM,同时生成补偿格网;然后,根据基于像方仿射变换的RFM对轨道影像进行区域网平差;最后,利用求得的轨道影像的仿射变换参数重新计算原始单景影像的仿射变换参数。利用不同地区资源三号测绘卫星影像数据的试验表明,基于轨道约束的卫星影像区域网平差(以下简称轨道平差)在稀疏控制条件下,其精度明显好于单景影像平差的精度。在6控情况下,太行山试验区达到平面2.504m高程3.117m,在渭南试验区达到了平面4.061m高程2.895m。试验结果证明了轨道平差的有效性和可行性。  相似文献   

20.
Unsupervised segmentation optimization methods have been proposed to aid in selecting an “optimal” set of scale parameters quickly and objectively for object-based image analysis. The goal of this study was to qualitatively assess three unsupervised approaches using both moderate-resolution Landsat and high-resolution Ikonos imagery from two study sites with different landscape characteristics to demonstrate the continued need for analyst intervention during the segmentation process. The results demonstrate that these methods selected parameters that were optimal for the scene which varied with method, image type, and site complexity. Several takeaways from this exercise are as follows: (1) some methods do not work as intended, (2) single-scale unsupervised optimization procedures cannot be expected to properly segment all the features of interest in the image every time, and (3) many multi-scale approaches require subjectively chosen weights or thresholds or additional testing to determine those values that meet the objective. Visual inspection of segmentation results is still required in order to assess over and under-segmentation as no method can be expected to select the best parameters for land cover classifications every time. These approaches should instead be used to narrow down parameter values in order to save time.  相似文献   

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