高分辨率卫星影像已经在一些国家的民用领域得到应用。
The high-resolution satellite images are now available for civilian use in many countries.
高分辨率卫星影像成像几何模型是影像处理的基础和关键。
The geometrical model of high resolution satellite image is foundation to image processing.
因此可认为，航片在实际应用中，可以代替高分辨率卫星影像。
So in the practical application, we can use aerial image to replace high resolution satellite images.
高分辨率卫星影像的应用，为遥感影像的目标提取提供了更大的可能性和更高的准确性。
The applications of high resolution remote sensing images have provided more possibility and higher accuracy for the object extraction from remote image.
高分辨率卫星影像包含着地表目标丰富的形状结构和纹理信息，使其成为城市研究的重要数据源。
High-resolution satellite image provides abundant shape structure and texture information of landscape objects and it becomes important data source in field of city research.
在分析传统县级土地利用调查技术的基础上，提出基于高分辨率卫星影像的县级土地利用调查方法。
Based on the analysis of traditional technique of land use survey at county level, this paper presents a method of land use survey at county level based on high spatial resolution image.
在高分辨率卫星影像中，目标地物的细节比TM和MSS影像更为清晰，呈现出大量的纹理与结构信息。
In the high resolution remote sensing image, the details of objections are more clear than TM and MSS images, showing great texture and structure information.
结果表明：采用SPOT5高分辨率卫星影像进行土地利用更新调查，是切实可行的，能够较大提高调查工作效率、保证调查成果数据的精度和可靠性。
The purpose of the paper is to explore techniques, methods and nowchart of land use investigation upgrading based on SPOT5 high-resolution satellite image.
利用时相性好、高分辨率的卫星影像资料或森林资源档案，采取恢复性调查的方法，可为司法机关提供证据确凿的鉴定意见。
Applying the satellite image with good phase and high resolution, adopting the the method of restorative investigation, the certain authentication could be provided for judicial authority.
简要叙述高分辨率卫星遥感影像的严格几何模型，建立影像姿态角常差检校模型。
The rigorous geometric model based on the collinearity equations is the basic model for object positioning of high resolution remotely sensed imagery.
简要叙述高分辨率卫星遥感影像的严格几何模型，建立影像姿态角常差检校模型。
The rigorous geometric model based on the collinearity equations is the basic model for object positioning of high resolution remotely sensed imagery.
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