In this study,a semi-automatic approach to support archaeological line tracing is proposed.The suggested procedure is based on colour and texture information derived from orthorectified RGB digital aerial data and con...In this study,a semi-automatic approach to support archaeological line tracing is proposed.The suggested procedure is based on colour and texture information derived from orthorectified RGB digital aerial data and consists of four steps:(1)line sketching;(2)steerable filtering;(3)objects selection;and(4)straight line fitting and vectorisation.Good results were observed by evaluating the algorithm according to trace visibility and integrity,global difficulty and level of feature extraction.Further reliability tests were performed to study poor data initialisation and different annual seasonal land use at the same site.展开更多
Combining beamlet transform with steerable filters, a new edge detection method based on line gradient is proposed. Compared with operators based on point local properties, the edge-detection results with this method ...Combining beamlet transform with steerable filters, a new edge detection method based on line gradient is proposed. Compared with operators based on point local properties, the edge-detection results with this method achieve higher SNR and position accuracy, and are quite helpful for image registration, object identification, etc. Some edge-detection experiments on optical and SAR images that demonstrate the significant improvement over classical edge operators axe also presented. Moreover, the template matching result based on edge information of optical reference image and SAR image also proves the validity of this method.展开更多
文摘In this study,a semi-automatic approach to support archaeological line tracing is proposed.The suggested procedure is based on colour and texture information derived from orthorectified RGB digital aerial data and consists of four steps:(1)line sketching;(2)steerable filtering;(3)objects selection;and(4)straight line fitting and vectorisation.Good results were observed by evaluating the algorithm according to trace visibility and integrity,global difficulty and level of feature extraction.Further reliability tests were performed to study poor data initialisation and different annual seasonal land use at the same site.
文摘Combining beamlet transform with steerable filters, a new edge detection method based on line gradient is proposed. Compared with operators based on point local properties, the edge-detection results with this method achieve higher SNR and position accuracy, and are quite helpful for image registration, object identification, etc. Some edge-detection experiments on optical and SAR images that demonstrate the significant improvement over classical edge operators axe also presented. Moreover, the template matching result based on edge information of optical reference image and SAR image also proves the validity of this method.
