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To deal with the problem of urban ground object information extraction, the paper proposes an object-oriented classification method using aerial image and LiDAR data. Firstly, we select the optimal se...
Since satellite and aerial imageries are recently widely spread and frequently observed, combination of them are expected to complement spatial and temporal resolution each other. One of the prospecti...
A new straight line matching method for aerial images is proposed in this paper. Compared to previous works, similarity constraints combining radiometric information in image and geometry attributes i...
In this work, we propose an integrative framework to process UAV images. The overall process can be viewed as a pipeline consisting of the geometric and radiometric corrections, subsequent panoramic m...
Over the last couple of years more and more analogue airborne cameras were replaced by digital cameras. Digitally recorded image data show significant advantages to film based data. Digital aerial pho...
The growing needs in obtaining diverse categories of information about Earth surface, including land cover, require the effective and efficient methods of digital analysis to be work out. In contras...
With respect to the usual processing chain in UAV photogrammetry the consideration of the camera’s influencing factors on the accessible accuracy level is of high interest. In most applications consum...
This article proposes a novel road extraction methodology from digital images. The innovation is based on the dynamic programming (DP) algorithm to carry out the optimisation process in the object spa...
This article proposes a novel road extraction methodology from digital images. The innovation is based on the dynamic programming (DP) algorithm to carry out the optimisation process in the object spa...
Feature Analyst is a commercial feature extraction software system that leverages multiple object recognition attributes,using semi-automated to automated workflows, to accelerate the collection of fe...
In order to adequately model ecosystems services of the urban environment, it is necessary to accurately inventory urban vegetation abundance and spatial distribution. An object-based, methodological ...
The latest developments in remote sensing analysis software allow new ways of integrating satellite imagery with archive data from aerial photography. This paper shows how this integration is useful i...
There is a great demand for studying the changes of buildings over time. The current trend for building change detection combines the orthophoto and DSM (Digital Surface Models). The pixel-based chang...
Their small size and high biodiversity have until now made UK chalk streams unsuitable subjects for study with remote sensing techniques. Future technological developments are however likel...
Much of Scotland’s uplands are covered by organic peat soils, these form a significant proportion of the global peat resource. Peat ecosystems play a key role in the global carbon cycle through seques...

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