Results 21 to 30 of about 401 (164)
Pixel-based (PB) and geographic-object-based (GEOBIA) classification approaches allow the extraction of different objects from multispectral images (MS).
Ante Šiljeg +6 more
doaj +1 more source
Geographic Object-Based Image Analysis: A Primer and Future Directions
Geographic object-based image analysis (GEOBIA) is a remote sensing image analysis paradigm that defines and examines image-objects: groups of neighboring pixels that represent real-world geographic objects.
Maja Kucharczyk +3 more
doaj +1 more source
GEOBIA systems for massive data processing [PDF]
Large portions of the Earth’s landscape are now captured by high-resolution remotely-sensed datasets and turned into corresponding thematic data. Despite these advancements the number of comprehensive, high-resolution land-cover maps is surprisingly low.
N. Ahles +4 more
openaire +1 more source
A Framework for Geographic Object-Based Image Analysis (GEOBIA) based on geographic ontology [PDF]
GEOBIA (Geographic Object-Based Image Analysis) is not only a hot topic of current remote sensing and geographical research. It is believed to be a paradigm in remote sensing and GIScience.
H. Y. Gu, H. T. Li, L. Yan, X. J. Lu
doaj +1 more source
Mapeamento Geomorfológico Regional Semiautomatizado por Descoberta e Modelagem do Conhecimento
O objetivo do presente estudo é a elaboração de um mapa geomorfológico do estado do Rio de Janeiro na escala 1:250.000, a partir do desenvolvimento de uma metodologia que envolva uma abordagem que minimize a subjetividade inerente à atividade de ...
Raphael e Silva Girão +3 more
doaj +1 more source
Multi-scale/multi-level geographic object-based image analysis (MS-GEOBIA) methods are becoming widely-used in remote sensing because single-scale/single-level (SS-GEOBIA) methods are often unable to obtain an accurate segmentation and classification of ...
Brian A. Johnson +4 more
doaj +1 more source
Comparison of PBIA and GEOBIA classification methods in classifying turbidity in reservoirs
Our goal is to compare the performance of Classification and Regression Tree, Naive Bayes and Random Forest algorithms, from supervised image classification, and approaches on Pixel-Based Image ana...
Douglas Stefanello Facco +4 more
openaire +1 more source
Image segmentation and geographic object-based image analysis (GEOBIA) were proposed around the turn of the century as a means to analyze high-spatial-resolution remote sensing images.
Brian Alan Johnson, Lei Ma
doaj +1 more source
Abstract Many studies of Earth surface processes and landscape evolution rely on having accurate and extensive data sets of surficial geologic units and landforms. Automated extraction of geomorphic features using deep learning provides an objective way to consistently map landforms over large spatial extents.
Aaron E. Maxwell +5 more
wiley +1 more source
Automated methods for image detection of cultural heritage: Overviews and perspectives
Abstract Remote sensing data covering large geographical areas can be easily accessed and are being acquired with greater frequency. The massive volume of data requires an automated image analysis system. By taking advantage of the increasing availability of data using computer vision, we can design specific systems to automate data analysis and ...
Ariele Câmara +3 more
wiley +1 more source

