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A platform for research: civil engineering, architecture and urbanism
Multiscale Segmentation and Classification of Remote Sensing Imagery with Advanced Edge and Scale‐Space Features
The current need for automated image analysis and computer vision technological tools requires a processing scheme able to encapsulate effectively the content of remote sensing data. In this chapter, an object‐based image analysis framework is developed which integrates advanced scale space representations, edge and line feature detection, multiscale segmentation, and a kernel‐based classification. The developed object‐based image analysis framework is detailed along with a description and detailed analysis of its different processing steps. The main objective here is to design the overall framework in order to be generic, robust, and able to process effectively a wide variety of remote sensing data, such as hyperspectral and multispectral data from ground, aerial, and space borne sensors, radar data, and digital elevation models. Finally, the chapter provides experimental results and the performed quantitative evaluation.
Multiscale Segmentation and Classification of Remote Sensing Imagery with Advanced Edge and Scale‐Space Features
The current need for automated image analysis and computer vision technological tools requires a processing scheme able to encapsulate effectively the content of remote sensing data. In this chapter, an object‐based image analysis framework is developed which integrates advanced scale space representations, edge and line feature detection, multiscale segmentation, and a kernel‐based classification. The developed object‐based image analysis framework is detailed along with a description and detailed analysis of its different processing steps. The main objective here is to design the overall framework in order to be generic, robust, and able to process effectively a wide variety of remote sensing data, such as hyperspectral and multispectral data from ground, aerial, and space borne sensors, radar data, and digital elevation models. Finally, the chapter provides experimental results and the performed quantitative evaluation.
Multiscale Segmentation and Classification of Remote Sensing Imagery with Advanced Edge and Scale‐Space Features
Weng, Qihao (editor) / Tzotsos, Angelos (author) / Karantzalos, Konstantinos (author) / Argialas, Demetre (author)
Scale Issues in Remote Sensing ; 170-196
2014-02-14
27 pages
Article/Chapter (Book)
Electronic Resource
English
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