Searched for: subject:"Change%5C+detection"
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Derner, Erik (author), Gomez, Clara (author), Hernandez, Alejandra C. (author), Barber, Ramon (author), Babuska, R. (author)
Autonomous mobile robots are becoming increasingly important in many industrial and domestic environments. Dealing with unforeseen situations is a difficult problem that must be tackled to achieve long-term robot autonomy. In vision-based localization and navigation methods, one of the major issues is the scene dynamics. The autonomous...
journal article 2021
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Dahle, Felix (author)
In many countries digital maps are created and provided by the national cadastres: Usually they consist of multiple polygons, each with an exact location and shape, describing which kind of surface can be found at the position of the polygon (e. g. building, street, vegetation). They must be accurate and well maintained, as they are used by...
master thesis 2020
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Zhou, K. (author)
3D city models are increasingly used to maintain and improve urban infrastructure. Keeping 3D city models accurate and up-to-date is essential for municipalities to make decisions in a time of strongly increasing urbanization. 3D information provided by airborne laser scanning (ALS) is widely used for generating 3D city models. However, ALS data...
doctoral thesis 2020
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Dijkstra, Fokke (author)
A variety of statistical methods are available to detect sudden changes, or breakpoints, in time series when used as multi-temporal change detection technique. However, these methods are unreliable in the presence of noise. Neural nets might detect breakpoints better. These deep learning models are able to generalize and optimize well, even in...
master thesis 2020
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Hagenaars, Erik (author)
People counting data in offices is used in many applications like HVAC system control and space management to increase comfort, decrease energy consumption and optimise space utilisation. In contrast to past approaches using imaging modalities that tend to be either expensive or intrusive, we consider single-pixel thermopile sensors for people...
master thesis 2020
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Zhou, K. (author), Lindenbergh, R.C. (author), Gorte, Ben (author), Zlatanova, S. (author)
Change detection is essential to keep 3D city models up-to-date. LiDAR data with high accuracy are used to create 3D city models. However, updating LiDAR data at state or nation level often takes around a decade. Very high resolution (VHR) stereo images, with often yearly updating rate and dense 3D information, provide an option for...
journal article 2020
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Chen, Yu (author), Ming, Zutao (author), Menenti, M. (author)
This paper proposes a multioral image change detection algorithm based on adaptive parameter estimation, which is used to solve the problems of severe interference of coherent speckle noise and the retention of detailed information about changing regions in synthetic aperture radar remote sensing images. The change area in the initial...
journal article 2020
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Gutierrez, I. (author), Gjermundsen, E. Før (author), Harcourt, W.D. (author), Kuschnerus, M. (author), Tonion, F. (author), Zieher, T. (author)
Landslides endanger settlements and infrastructure in mountain areas across the world. Monitoring of landslides is therefore essential in order to understand and possibly predict their behavior and potential danger. Terrestrial laser scanning has proven to be a successful tool in the assessment of changes on landslide surfaces due to its high...
journal article 2020
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Meerkerk, Willem-Jan (author)
Comparing spreadsheet files is a new, unexplored research domain in computer science. Methods for regular file comparison are not straightforwardly applicable to spreadsheet files, because they are fundamentally different. Spreadsheets are binary files, the structure of spreadsheets is two-dimensional, they contain both data and calculations,...
master thesis 2019
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Lindenbergh, R.C. (author), Van Der Kleij, S. (author), Kuschnerus, M. (author), Vos, S.E. (author), de Vries, S. (author)
Sandy beaches are highly dynamic areas affected by different natural and anthropogenic effects. Large changes, caused by a storm for example, are in general well-understood and easy to measure. Most times, only small changes, at the centimeter scale, are occurring, but these changes accumulate significantly over periods from weeks to months....
journal article 2019
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Hu, F. (author), Wu, Jicang (author), Chang, Ling (author), Hanssen, R.F. (author)
Multi-temporal interferometric synthetic apertureradar (MT-InSAR) is used for many applications in earthobservation. Most MT-InSAR methods select scatterers with highcoherence throughout the entire time series. However, as timeseries lengthen, inevitable changes in surface scattering leadto decorrelation, which systematically decreases the...
journal article 2019
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Derner, Erik (author), Gomez, Clara (author), Hernandez, Alejandra C. (author), Barber, Ramon (author), Babuska, R. (author)
Autonomous mobile robots are becoming increasingly important in many industrial and domestic environments. Dealing with unforeseen situations is a difficult problem that must be tackled in order to move closer to the ultimate goal of life-long autonomy. In computer vision-based methods employed on mobile robots, such as localization or...
conference paper 2019
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Tchimino, Jack (author)
Signal Analysis techniques are routinely used in Neuroscience to interpret raw signals harvested from the Nervous System. From a simple Fourier analysis to more complicated methods such as multiresolution wavelet analysis, such techniques must be used for signal manipulation in order to reach informed conclusions on the measurements taking place...
master thesis 2018
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Scherpenisse, Brendan (author)
Repeat-pass acquisitions with coherent Synthetic Aperture Radar (SAR) systems, preserving both phase and amplitude, are more readily available than ever (Bruzzone, 2016). Phase measurements from SAR systems have seen widespread use in the Interferometric Synthetic Aperture (InSAR) technique to measure deformations and elevations since the late...
master thesis 2018
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Zhou, K. (author), Gorte, B. (author), Lindenbergh, R.C. (author), Widyaningrum, E. (author)
Change detection is an essential step to locate the area where an old model should be updated. With high density and accuracy, LiDAR data is often used to create a 3D city model. However, updating LiDAR data at state or nation level often takes years. Very high resolution (VHR) images with high updating rate is therefore an option for change...
journal article 2018
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Cemellini, Barbara (author), van Opstal, Willem (author), Wang, Cheng-Kai (author), Xenakis, Dimitris (author)
We are now gradually entering the era of big data - maybe a bit too much of a buzzword, but it is not lied. Technology is evolving fast, enabling faster and more efficient data acquisition, storage, retrieval and processing. Point cloud datasets are such a type which relies on large files and lots of processing power. The rather fast evolutions...
student report 2017
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Shen, Y. (author), Lindenbergh, R.C. (author), Wang, J. (author)
A method is introduced for detecting changes from point clouds that avoids registration. For many applications, changes are detected between two scans of the same scene obtained at different times. Traditionally, these scans are aligned to a common coordinate system having the disadvantage that this registration step introduces additional...
journal article 2017
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Koeva, Mila (author), Oude Elberink, Sander (author)
Nowadays due to the increasing complex and multifunctional building environment in the urban areas it is required an accurate geometry and proper legal registration of the cadastral objects including third dimension and time aspect. 2D land-parcel data seems insufficient to address the variety of problems in high density residential areas. This...
conference paper 2016
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Alphenaar, K.J. (author)
The current vegetation monitoring method of Rijkswaterstaat is a manual, time consuming and costly method and therefore only is performed once in six years. The vegetatielegger is a map, which shows the standard situation of the vegetation types that are allowed at any location in the river foreland area of the Netherlands. No rougher vegetation...
master thesis 2016
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Pietrzyk, P.J. (author)
Remote sensing of forests with airborne laser scanning has been used increasingly in the last decades. Due to its capability to provide very detailed three-dimensional information on the structure of forests and individual trees it is very suitable to detect changes in forests. However, current change detection methods in this field often cannot...
master thesis 2015
Searched for: subject:"Change%5C+detection"
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