搜索结果: 1-6 共查到“大地测量技术 Object”相关记录6条 . 查询时间(0.162 秒)
OBJECT LOCALIZATION FOR SUBSEQUENT UAV TRACKING
Tracking objects initialization tracking algorithms unmanned aerial vehicles (UAV)
2018/6/4
The paper is devoted to the problem of semi-automatic initialization of the tracking algorithm, i.e. selecting an object of interest by unmanned aerial vehicles or drones. In this work, we propose an ...
OBJECT-BASED CLASSIFICATION OF IKONOS DATA FOR RURAL LAND USE MAPPING
Land Use Object Segmentation IKONOS
2015/6/1
Land uses in rural areas of Japan, which typically consist of small agricultural fields, complex vegetation covers, and sparsely
distributed residential areas, have been problematic in terms of land...
EXTRACTING 3D EDGEL HYPOTHESES FROM MULTIPLE CALIBRATED IMAGES: A STEP TOWARDS THE RECONSTRUCTION OF CURVED AND STRAIGHT OBJECT BOUNDARY LINES
Photogrammetry 3D Reconstruction
2015/3/24
HR aerial images of urban landscapes, these low-level features can be used to build 3D lines that can be injected as constraint lines
in addition to other features, such as 3D points and 3D segments,...
ILL-CONFIGURED OBJECT REPRESENTATION BY NEIGHBOUR SET WITH APPLICATIONS TO AERIAL IMAGE ANALYSES
Object Configuration Model Theory Algorithm
2015/3/24
We introduce herein the concept of the ill-configured object (ICO). An ICO is a geometrical object having a stable (unique) name but
varying configurations (shape, size, components, and component la...
SIMULTANEOUS REGISTRATION OF MULTIPLE VIEWS OF A 3D OBJECT
registration matching inspection
2015/3/24
In the reconstruction process of geometric objects from several three-dimensional images (clouds of measurement points)
it is crucial to align the point sets of the different views, such that errors ...
OBJECT SEGMENTATION WITH REGION GROWING AND PRINCIPAL COMPONENT ANALYSIS
Principal Component Analysis Tensorization
2015/3/24
The paper considers the problem of object segmentation and shape recognition in discrete noisy data. Two different algorithms
combine region growing techniques with principal component analysis. The...