Numerous geoscience and engineering applications need denser and more accurate Digital Terrain Model (DTM) height data. Collecting additional height data in the field, if not impossible, is either expensive or time consuming or both. Stereo aerial or satellite imagery is often unavailable and very expensive to acquire. Interpolation techniques are fast and cheap, but have their own inherent dif...

Nowadays, DTM databases are vital for a variety of applications, such as visualization or terrain analysis. Therefore, in the fields of civil engineering, mapping and geo-information, or geophysics, this data is on the functional route leading from data acquisition to derived applications. One of the main issues when dealing with DTM database representation is data merging, which involves the i...

Point cloud filtering is an important step in Digital Terrain Model (DTM) production. Despite the fact that a great body of research has been conducted this area so far, there are still some problems have not yet solved, especially complex terrains. The use user-defined parameters within presented point methods, and difficulty parameter estimation parallel to increase topography slope above-gro...

The automatic generation of digital surface models (DSM) of urban areas from high and very high resolution (VHR) stereo data from satellites is still a research issue. Image matching algorithms from computer vision have been introduced and adopted to satellite imagery in recent years. These algorithms do not work using local optimisation like area based matching but try to optimize a global cos...

We have derived algorithms and techniques to precisely co-register laser altimeter profiles with gridded Digital Terrain Models (DTMs), typically derived from stereo images. The algorithm consists of an initial grid search followed by a least-squares matching and yields the translation parameters at sub-pixel level needed to align the DTM and the laser profiles in 3D space. This software tool w...

Orthophotos of highway corridor areas are important components of public transportation spatial databases. However, the generation of correct orthophotos in bridge areas is difficult, as without operator assistance distortions are often introduced. To avoid warped bridges in orthophotos, a precise DBM (Digital Bridge Model) should be used along with the DTM (Digital Terrain Model). In addition,...

The recent advances of GPS/IMU have made it possible to perform the multisensor, multi-resolution and multi-spectral data fusion utilizing GIS technique. In the present study we utilized the Airborne Digital Sensor (ADS40) image and Digital Surface Model (DSM) by pixel matching techniques and studied the data fusion capability with LIDAR data from Airborne Laser Scanner (ALS40) and filtered Dig...

Estimating the height of buildings and vegetation in single aerial images is a challenging problem. A task-focused Deep Learning (DL) model that combines architectural features from successful DL models (U-NET Residual Networks) learns mapping imagery to normalized Digital Surface Model (nDSM) was proposed. The trained on whose corresponding DSM Terrain Models (DTM) were available then used inf...

Digital terrain model (DTM) generation is essential to recreating morphology once the external elements are removed. Traditional survey methods still used collect accurate geographic data on land surface. Given emergence of unmanned aerial vehicles (UAVs) equipped with low-cost digital cameras and better photogrammetric for mapping, efficient approaches necessary allow rapid surveys high accura...

In urban GIS and management, Digital surface model (DSM) can be used for generating object models. The preliminary step is to segment the interesting areas. In this paper, we present an integrated method of building extraction using transform from DSM to normal angles and watershed segmentation to the gradient of DSM. To remove the effect of the terrain shape to building detection, we firstly d...