The technology of object automatic recognition on remote-sensing image is a very active research field in pattern recognition and image processing these years.
遥感图像目标自动识别技术是计算机模式识别与图像处理领域非常活跃的研究课题。
Automatic recognition of remote sensing image is a great challenge in the field such as remote sensing, computer vision, pattern recognition and so on.
遥感图像的自动识别是遥感、计算机视觉和模式识别等领域面临的重大挑战。
Classification and pattern recognition of high dimensional remote sensing data are distinctly different from traditional multi-channel remote sensing classification techniques.
高维遥感数据的分类与识别与传统的多光谱遥感分类技术具有明显的区别。
The destination of this thesis is to improve the pattern recognition algorithm for the classification to the land-use of urban blocks on remote-sensing images.
城市街区用地类型的普查自动化多年以来一直是遥感模式识别的重点研究目标。
The destination of this thesis is to improve the pattern recognition algorithm for the classification to the land-use of urban blocks on remote-sensing images.
城市街区用地类型的普查自动化多年以来一直是遥感模式识别的重点研究目标。
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