This study proposes an automatic procedure for individual fruit tree identification using GeoEye-1 sensor data.Depending on site-specific pruning practices,the morphologic characteristics of tree crowns may generate o...This study proposes an automatic procedure for individual fruit tree identification using GeoEye-1 sensor data.Depending on site-specific pruning practices,the morphologic characteristics of tree crowns may generate one or more brightness peaks(tree top)on the imagery.To optimize tree counting and to minimize typical background noises from orchards(i.e.bare soil,weeds,and man-made objects),a four-step algorithm was implemented with spatial transforms and functions suitable for spaced stands(asymmetrical smoothing filter,local minimum filter,mask layer,and spatial aggregation operator).System perfor-mance was evaluated through objective criteria,showing consistent results in fast capturing tree position for precision agriculture tasks.展开更多
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
文摘This study proposes an automatic procedure for individual fruit tree identification using GeoEye-1 sensor data.Depending on site-specific pruning practices,the morphologic characteristics of tree crowns may generate one or more brightness peaks(tree top)on the imagery.To optimize tree counting and to minimize typical background noises from orchards(i.e.bare soil,weeds,and man-made objects),a four-step algorithm was implemented with spatial transforms and functions suitable for spaced stands(asymmetrical smoothing filter,local minimum filter,mask layer,and spatial aggregation operator).System perfor-mance was evaluated through objective criteria,showing consistent results in fast capturing tree position for precision agriculture tasks.
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.
