Texture classification in aerial photographs and satellite data
作者:
E. SALI,
H. WOLFSON,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1992)
卷期:
Volume 13,
issue 18
页码: 3395-3408
ISSN:0143-1161
年代: 1992
DOI:10.1080/01431169208904130
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Texture features have proved to be an important tool in image segmentation and object recognition, as well as interpretation of images in a variety of applications ranging from medical imaging to remote sensing. Many methods were suggested to achieve good discrimination between different textural regions. We propose a non-supervised classification method. The method combines a multi-resolution based texture feature with features based on first and second order statistics. These features are calculated for each pixel in the image and its neighbours. A clustering algorithm, based on the generalized Lloyd algorithm, is applied and finally an iterative region merging process, based on the phagocytes heuristic, is used to improve the classification of the borders of the regions and to reduce local clustering errors. Examples of the method and the features effectiveness are presented using SPOT satellite images.
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