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The use of geospatial workflows to support automatic detection of complex geospatial features from high resolution images

机译:地理空间工作流程支持从高分辨率图像自动检测复杂地理空间特征

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A complex geospatial feature is spatially composed of member elementary features. The methods extracting elementary features from high resolution imageries are being mature. However, the detection of complex feature is still a nearly-blind point. This paper proposes an automatic approach using geospatial workflows to detect complex feature by identifying the spatial patterns like the contained member elementary features and the spatial relationships between member features and the surrounding environment. A prototype online system is realized for evaluation.
机译:复杂的地理空间特征是由成员基本特征的空间组成。从高分辨率成像中提取基本特征的方法正在成熟。然而,复杂特征的检测仍然是几乎盲目的点。本文提出了一种自动方法,使用地理空间工作流来通过识别包含的成员基本特征和成员特征与周围环境之间的空间关系等空间模式来检测复杂特征。实现了原型在线系统进行评估。

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