搜索结果: 1-5 共查到“摄影测量与遥感技术 VHR satellite images”相关记录5条 . 查询时间(0.421 秒)
TOPIC MODELLING FOR OBJECT-BASED CLASSIFICATION OF VHR SATELLITE IMAGES BASED ON MULTISCALE SEGMENTATIONS
Topic modelling Image classification Object-based Multiscale segmentation
2016/11/23
Multiscale segmentation is a key prerequisite step for object-based classification methods. However, it is often not possible to determine a sole optimal scale for the image to be classified because i...
TOWARDS TIME-SERIES PROCESSING OF VHR SATELLITE IMAGES FOR SURFACE DEFORMATION DETECTON AND MEASUREMENTS
deformation measurement image correlation high-performance computing satellite remote sensing
2015/9/21
The increasing fleet of VHR optical satellites (e.g. Pléiades, Spot 6/7, WorldView-3) offers new opportunities for the monitoring of surface deformation resulting from gravitational (e.g. glaciers, la...
ASSESSMENT OF GEOMETRIC ACCURACY OF VHR SATELLITE IMAGES
Remote Sensing Photogrammetry High resolution IKONOS QuickBird Geometry Orthorectification
2015/5/29
VHR images of earths’ surface are more frequently used and taken advantage of in substitution to aerial photographs. Geometric dependences of creation orthophoto based on aerial photos are known and d...
SUPER-RESOLUTION MAPPING FOR EXTRACTION OF URBAN TREE CROWN OBJECTS FROM VHR SATELLITE IMAGES
Super resolution mapping tree crown identification markov random field object detection urban trees
2014/6/12
Extraction of individual tree crown objects in urban areas using available VHR space-borne imaging systems remains a challenging image processing task mainly because of two factors: the limited spectr...
CONTEXT-SENSITIVE EXTRACTION OF TREE CROWN OBJECTS IN URBAN AREAS USING VHR SATELLITE IMAGES
Object based image analysis tree mapping context classification remote sensing urban areas tree crown identification
2014/6/12
Municipalities need accurate and updated inventories of urban vegetation in order to manage green resources and estimate the profit of urban forestry activities. Earlier studies using high resolution ...