摘要：【中文】本发明公开了一种卫星飞临时刻与拍摄范围的计算方法，根据卫星星历的结构，首行数据为卫星名称；后面两行存储了卫星相关数据用于确定给定历元时刻下绕地运行空间目标的轨道根数；根据两行根数的第一行平均运动的一阶时间导数，使用这个数据计算卫星在轨道上的具体位置；平均运动的二阶时间导数，用来计算每一天平均运动的变化带来的轨道位移，使用该参数，能预测卫星的在轨位置，进而能进行飞临时刻模拟；人造地球卫星运转周期T秒与圆轨道半径或椭圆轨道半长轴R米之间的关系计算轨道周期和长半轴，进而计算轨道速度。 【EN】The invention discloses a method for calculating the flying time and the shooting range of a satellite, wherein according to the structure of a satellite ephemeris, first-line data is the name of the satellite; the next two rows store satellite related data for determining the orbit number of the orbit around the earth moving space target at a given epoch; using this data to calculate a particular position of the satellite in the orbit, based on the first time derivative of the average motion of the first of the two lines; the second-order time derivative of the average motion is used for calculating the orbital displacement brought by the change of the average motion every day, and the on-orbit position of the satellite can be predicted by using the parameters, so that the simulation of the flight temporary notch can be performed; and calculating the orbit period and the major and minor axes according to the relationship between the artificial earth satellite operation period T seconds and the radius of the circular orbit or the semimajor axis of the elliptical orbit R meters, and further calculating the orbit speed.

摘要：【中文】本发明公开了一种高光谱影像数据融合方法，遥感影像融合是采用一种复合模型，对不同分辨率遥感影像数据进行信息综合，以获得高质量的影像信息，通过优势互补降低影像信息不确定性，减少模糊度，增强影像信息清晰度。高分影像与高光谱影像的融合是将低分辨率的高光谱影像与高分辨率的单波段影像进行重采样，使得处理后的影像既有较高的空间分辨率，又具有丰富的光谱特征。 【EN】The invention discloses a hyperspectral image data fusion method, wherein remote sensing image fusion is to adopt a composite model to carry out information synthesis on remote sensing image data with different resolutions so as to obtain high-quality image information, reduce image information uncertainty, reduce ambiguity and enhance image information definition through advantage complementation. The high-resolution image and the high-spectrum image are fused by resampling the low-resolution high-spectrum image and the high-resolution single-waveband image, so that the processed image has high spatial resolution and abundant spectral characteristics.

摘要：【中文】本发明公开了一种基于CGA规则的自动化建筑模型，包括以下步骤：城市建设规划数据；采集城市范围高清遥感影像、DEM数据；将线划数据转为GIS中的矢量数据;基于带有空间参考的影像配准线划矢量数据；利用CGA规则对真实GIS矢量进行建筑白模拉伸、道路初步符号化；对建筑、交通模型进行分类抽象；编写不同抽象分类的CGA规则，针对相同类型模型应用同一规则，生成模型；通过CGA规则基于真实GIS数据，对城市建筑、轨道交通等场景三维重建，可有效生成具有前所未有的细节水平的大规模城市模型，CGA规则具有可复用、批量生成等优势；可有效生成具有前所未有的细节水平的大规模城市模型。 【EN】The invention discloses an automatic building model based on CGA rules, which comprises the following steps: city construction planning data; collecting high-definition remote sensing images and DEM data of an urban area; the method comprises the steps of converting line drawing data into vector data in a GIS, aligning the line drawing vector data based on an image with a spatial reference; building white-mode stretching and road preliminary symbolization are carried out on the real GIS vector by utilizing the CGA rule; carrying out classification abstraction on the building and traffic models; writing CGA rules of different abstract classifications, and applying the same rule aiming at the same type of model to generate a model; the CGA rule is based on real GIS data, a large-scale urban model with unprecedented level of detail can be effectively generated by three-dimensional reconstruction of scenes such as urban buildings, rail transit and the like, and the CGA rule has the advantages of reusability, batch generation and the like; large-scale urban models with unprecedented levels of detail can be efficiently generated.