Monitoring Glacier Elevation Changes over the Tibetan Plateau Using ALOS PRISM and ICESat

Glacier melting has become a key issue in the current discussion on global climate change. Glaciers of the Tibetan Plateau may be heavily affected by global warming. Hence, possible glacier melting over the plateau attracts the most attention. Possible glacier melting is evaluated via studies on mass balance of the glaciers. Glacier elevation...

Change detection and deformation analysis using Terrestrial Laser Scanning: Case study of the metro tunnel at Rotterdam central station

A Terrestrial Laser Scanner (TLS) is a powerful tool for surveying. Tens of millions of points are acquired with a high accuracy and within a short time. The resulting point clouds can be used to find changes and deformations. For this project, four point clouds of the metro station and tunnel at Rotterdam central station are available. The...

Change Detection in Forests Using Multi-Temporal High Density Airborne Laser Scanning Data

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...

An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method

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...

Chronocity: Technical Report Towards an Open Point Cloud Map supporting on-the-fly change detection

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...

Detection of multi-transitional abrupt changes in SAR time series

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...

Analysis and Detection of Neural Synchrony in the Prefrontal Cortex

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...

Comparing Spreadsheets: A New Strategy for Analysis, Detection and Aggregation of Spreadsheet Differences

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,...

Single-Pixel Thermopile Sensors for people counting applications

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...

Breakpoint detection through neural nets: A feasibility study

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...

Automatic change detection in digital maps using aerial images and point clouds

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...

Change Point Detection In Continuous Integration Performance Tests

Software testing is an integral part of the development of embedded systems. Among other reasons, tests are frequently used to ensure that a system meets all the specifications, which is especially important when designing systems for the medical industry. Software changes that have a detrimental impact on a real-time system's performance can...

Detecting ATC commands in ADS-B data: An exploratory research into ADS-B data to see if detecting ATC commands is possible

Automatic Dependent Broadcast-Surveillance (ADS- B) was introduced to increase the safety of air travel. Since then it has proven to be a useful source of air traffic data for academic research because it is publicly available. Another source of information are the communications between air traffic control (ATC) and aircraft. Methods are (being...

Exploring the potential of explorative point clouds in floodplain maintenance

Water management is an integral part of Dutch history, driven by the continuous need to reduce flood risk. Because a large area of the country is located below Normaal Amsterdams Peil (NAP), there is an ongoing challenge to safely discharge all the water to the sea. Therefore, flood safety policy has become crucial to protect the Netherlands...