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One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math — college-level calculus — that is needed to train each new model. Neu...
The use of remote sensors to acquire metric information for building information modelling (BIM) of heritage buildings is now common. Problematically, the creation of models from that information is s...
Geo-referenced digital images tak en by CCD cameras and integrated with GPS/INS data provide an efficient way for monitoring special objects with high resolution and visual capability in a h ighway/ro...
Operational large-scale inventories, such as the State of Mississippi’s inventory system, must have algorithms to rapidly categorize the forest resource into statistically efficient strata. These proc...
In this study using the Idrisi software system, a methodology for jointly analyzing and interpreting multi-spectral images and DEMs for extracting structural-geology features is given. In analyzing a...
The need for Digital Elevation Model (DEM) checking has raised since the automated matching techniques emerged. The use of reference data is a luxury and therefore cannot be used in all cases. This ar...
The large volume of data generated by commercial and research laboratories, along with requirements mandated by regulatory agencies, have forced companies to use laboratory information management syst...
In this paper we present a new classification technique for segmenting remotely sensed images, based on cluster analysis and machine learning. Traditional segmentation techniques which use clusterin...
The large volume of data generated by commercial and research laboratories, along with requirements mandated by regulatory agencies, have forced companies to use laboratory information management syst...
The photogrammetric bridging or traverse is a special bundle block adjustment (BBA) for connecting a sequence of stereo-pairs and of determining the exterior orientation parameters (EOP). An object po...
Spoken language systems often rely on static speech recognizers. When the underlying models are improved on-the-fly,training is usually performed using unsupervised methods. In this work, we explore a...
The ever increasing volume and quality of geospatial data has created new challenges for mapping companies. Due to increased image resolution, fusion of different data sources and more frequent data ...
Road construction projects are very expensive, unpredictable and highly influenced by unpredictable factors, like weather, type of soil, environmental issues, and other factors. This has led to diffic...

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