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Global image orientation techniques aim at estimating camera rotations and positions for a whole set of images simultaneously. One of the main arguments for these procedures is an improved robustness ...
Despite the success of multi-view stereo (MVS) reconstruction from massive oblique images in city scale, only point clouds and triangulated meshes are available from existing MVS pipelines, which are ...
We propose a novel hierarchical approach for the classification of airborne 3D lidar points. Spatial and semantic context is incorporated via a two-layer Conditional Random Field (CRF). The first laye...
Locating and analysing the location of new stores or outlets is one of the common issues facing retailers and franchisers. This is due to assure that new opening stores are at their strategic location...
A generic probabilistic model, under fundamental Bayes’ rule and Markov assumption, is introduced to integrate the process of mobile platform localization with optical sensors. And based on it, three ...
The revision of existing data must always be considered when new data are collected which have known relations with the old data, thereby taking into account that the two datasheets in question may be...
Skeleton is an important 1-D descriptor of polygon and a useful tool for advanced geometric algorithms. However the skeleton that most existing algorithms investigated is the longest one, which is not...
Flood-related disasters have been most serious and frequent in Korea, causing substantial suffering, severe loss of life, and economic damage. It is important to determine quickly the extent of floodi...
A spatial model of objects is suggested, which is suitable for 3D architectural modelling. The model has hierarchical structure that allows description of vector and raster information and their mutu...
We propose an incremental learning scheme for learning a class hierarchy for objects typically occurring multiple in images. Given oneexample of an object that appears several times in the image, e.g....
In this paper we describe the analysis framework system GEOAIDA with view of an application for a versatile and efficient quality assessment of geodata. GEOAIDA allows to develop image analysis ...
Topological relations have found applications in many fields such as similarity analysis, spatial query, object matching, inconsistency detection, spatial association rule mining, spatial reasoning, a...
Canopy Height Model (CHM) is a standard LiDAR-derived product for deriving relevant forest inventory information, among which individual tree identification is a crucial task. The watershed algorithm ...
Cleaning laser scanner point clouds from erroneous measurements (outliers) is one of the most time consuming tasks that has to be done before modeling. There are algorithms for outlier detection in di...

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