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System for performing change detection within a 3D geospatial model based upon semantic change detection using deep learning and related methods

机译:基于使用深度学习和相关方法,基于语义变化检测在3D地理空间模型中执行改变检测的系统

摘要

A system may include a memory and a processor cooperating therewith to obtain geospatial image data from a plurality of different types of sensors and generate a three-dimensional (3D) geospatial model therefrom. The processor may further determine a reference image within the 3D geospatial model based upon synthetically positioning an image sensor within the 3D geospatial model, and perform change detection between a collected image and the reference image based upon semantic change detection using deep learning.
机译:系统可以包括存储器和处理器,与其协作以从多个不同类型的传感器获得地理空间图像数据,并从中生成三维(3D)地理空间模型。 基于合成在3D地理空间模型内的图像传感器的合成定位图像传感器,并基于使用深度学习的语义改变检测,基于合成图像传感器,基于合成定位图像传感器在三维地理空间模型内基于合成的图像传感器来确定参考图像。

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