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  • 标题:Automated Object Recognition FromHigh Resolution Satellite Images
  • 本地全文:下载
  • 作者:Dimple Kapoor ; Minakshi Kumar ; Pradeep Pant
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:12
  • 页码:4283-4289
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Object Recognition, is an important element of various computer vision areas such as image retrieval, video surveillance etc. A great deal of research has been performed to advance the field and to enhance the capability and robustness of object detection systems. In this research, an efficient method of automated object recognition from satellite image is constructed and for detection of roads mainly Hough Transformation is used. The subject of this proposal is object detection. In short, it is the problem of localising instances of object classes in digital images. Object detection through template matching is defined as follows: The input is a single image and an object image. The goal of the methodology is to localise subimage in the image that should be portrayed with rectangular bounding boxes. Subsequently, give the main image and some knowledge of the object image our problem is to report that object is present where in the scene image.
  • 关键词:High spatial resolution; Hough Transform; Machine Vision; Template Matching; ; Object Recognition
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