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Topography and geology are factors to characterize the distribution of natural vegetation. Topographic contour is particularly influential on the living conditions of plants such as soil moisture, sun...
This study demonstrates the possibility of detecting the changes of growing stocks in mountainous forest stands derived from ALOS PALSAR and PALSAR-2 images. The ALOS PALSAR were obtained over the Kwa...
In this paper an algorithm designed to map flooded vegetation from synthetic aperture radar (SAR) imagery is introduced. The approach is based on fuzzy logic which enables to deal with the ambiguity o...
High-definition and highly accurate road maps are necessary for the realization of automated driving, and road signs are among the most important element in the road map. Therefore, a technique is nec...
This paper presents a novel routine to detect the changes of main roads with airborne images of medium-scale of 1:10,000. It mainly focuses on the changes detection of primary streets not the extracti...
Multitemporal aerial photography (1964-2004), Digital Elevation Models (DEM), orthophotomaps, thematic vector layers and satellite images have been integrated for the changes detection of unique envir...
One of the most important tools in order to model real world phenomena is Geographic Information System. Real world phenomena are changing continuously, so it is necessary to detect and introduce chan...
In this contribution, we focus on the ground deformation along the Qinghai-Tibet Railway based on the InSAR technique. QinghaiTibet Railway, the highest railway in the world, stretches 1,956 kilometre...
Today, with the situation of rapidly emerging high resolution earth observation data by optical and microwave sensors there is a growing need for efficient methods to derive, maintain and revise land ...
Intelligent Vehicles, as a main part of Intelligent Transportation Systems (ITS), will have great impact on transportation in near future. They would be able to understand their immediate environment ...
Every year sugar beet diseases cause lower sugar beet yields and qualities compared to the average. For that reason, high resolution field and airborne hyperspectral data is used to recognize a fungal...
Segmentation, i.e. the labelling of objects in image data, is a crucial step in many medical imaging processing tasks, e.g. operation planning, radio therapy or diagnostics. Seeded region growing is ...
Emergency mapping is one of the areas studied by the Centre of Topographic Information within the Emergency Mapping project of the Natural Hazards and Emergency Response Program of the Earth Science ...
Crater Size-Frequency Distributions (SFD) on planetary surfaces are crucial to dating the geological age. On the Moon they have been employed together with radioactive K-Ar techniques to determine ag...
The purpose of this paper is to investigate the applicability of change detector combination for improving the performance of change detection in remotely sensed data. Thereby, outputs of two fuzzy ...

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