Results 31 to 40 of about 49,010,873 (166)
Earth and Space Science, Volume 10, Issue 5, May 2023., 2023 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
Geographic object-based image analysis [PDF]
, 2009 The field of earth observation (EO) has seen tremendous development over recent time owing to the increasing quality of the sensor technology and the increasing number of operational satellites launched by several space organizations and companies around
Marpu, Prashanth Reddy
core +2 more sources
Dyna, 2022 A recurring problem in Geographic-Object Based Image Analysis (GEOBIA) is the need to tune each one of the three phases involved in the process, segmentation, feature selection, and classification.
Deybi Libardo Mora Castañeda +2 more
doaj +1 more source
Automated methods for image detection of cultural heritage: Overviews and perspectives
Archaeological Prospection, Volume 30, Issue 2, Page 153-169, April/June 2023., 2023 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
Scientific Programming, Volume 2023, Issue 1, 2023., 2023 Building extraction from high‐resolution aerial images is critical in geospatial applications such as telecommunications, dynamic urban monitoring, updating geographic databases, urban planning, disaster monitoring, and navigation. Automatic building extraction is a massive task because buildings in various places have varied spectral and geometric ...
Abderrahim Norelyaqine +3 more
wiley +1 more source
Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers
Remote Sensing, 2017 Geographic Object-Based Image Analysis (GEOBIA) mostly uses proprietary software,but the interest in Free and Open-Source Software (FOSS) for GEOBIA is growing.
Christian Knoth, Daniel Nüst
doaj +1 more source
Remote Sensing, 2020 The fast and accurate creation of land use/land cover maps from very-high-resolution (VHR) remote sensing imagery is crucial for urban planning and environmental monitoring.
Bo Liu +3 more
doaj +1 more source
Science of Remote Sensing, 2021 The classification of vegetation species is a fundamental technical task, necessary for the sustainable management of wetland ecosystems. GEographic-Object-Based Image Analysis (GEOBIA) and data mining have enabled classification and monitoring of ...
Luis Fernando Chimelo Ruiz +4 more
doaj +1 more source
Good Practices for Object-Based Accuracy Assessment
Remote Sensing, 2017 Thematic accuracy assessment of a map is a necessary condition for the comparison of research results and the appropriate use of geographic data analysis.
Julien Radoux, Patrick Bogaert
doaj +1 more source
IOP Conference Series: Earth and Environmental Science, 2019 Abstract Mangrove canopy cover is one of the important indicators for monitoring mangrove ecosystem’s health. Measuring and monitoring mangrove canopy cover using direct field measurement is tedious and inefficient work. This study implements the advanced geographic object-based image analysis (GEOBIA) approach to a very high-spatial ...
M Kamal +3 more
openaire +1 more source