Results 41 to 50 of about 2,668 (204)

Optimization of urban land-cover classification workflow based on geographic-object analysis using very-high-resolution imagery

open access: yesDyna, 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

Fine-scale mapping of vector habitats using very high resolution satellite imagery : a liver fluke case-study [PDF]

open access: yes, 2014
The visualization of vector occurrence in space and time is an important aspect of studying vector-borne diseases. Detailed maps of possible vector habitats provide valuable information for the prediction of infection risk zones but are currently lacking
Charlier, Johannes   +8 more
core   +2 more sources

Effect of Image-Processing Routines on Geographic Object-Based Image Analysis for Mapping Glacier Surface Facies from Svalbard and the Himalayas

open access: yesRemote Sensing, 2022
Advancements in remote sensing have led to the development of Geographic Object-Based Image Analysis (GEOBIA). This method of information extraction focuses on segregating correlated pixels into groups for easier classification.
Shridhar D. Jawak   +3 more
doaj   +1 more source

Bootstrapped CNNs for Building Segmentation on RGB-D Aerial Imagery [PDF]

open access: yes, 2018
Detection of buildings and other objects from aerial images has various applications in urban planning and map making. Automated building detection from aerial imagery is a challenging task, as it is prone to varying lighting conditions, shadows and ...
Bondarev, Egor   +4 more
core   +3 more sources

Application of Geobia to map the seafloor [PDF]

open access: yesGEOBIA 2016: Solutions and synergies, 2016
Geographic Object-Based Image Analysis (GEOBIA) has been successfully employed to map terrestrial environments. However, 71% of Earth's surface is covered by seawater and standard optical methods suitable for mapping the land surface have limited application in such environments.
openaire   +1 more source

GEOBIA, TREE DECISION AND HIERARCHICAL CLASSIFICATION FOR MAPPING GULLY EROSION

open access: yesRaega - O Espaço Geográfico em Análise, 2020
The gullies provoke environmental, social and financial damages. The application of corrective and preventive measures needs gullies mapping and monitoring. In this scope, this study proposes a methodology for gullies delimitation using object-oriented image analysis.
Andrea Tedesco   +1 more
openaire   +1 more source

Tropical Agrarian landscape classification using high-resolution GeoEYE data and segmentationbased approach [PDF]

open access: yes, 2016
We examine the use of high spatial resolution ‘GeoEYE’ imagery for land use classification in a tropical landscape. Image objects (I-Os) derived from features identification provide a basis for segmentation process and the Geographic Object Based Image ...
Kühle, Peter, Nagabhatla, Nidhi
core   +2 more sources

Pixel and Object-Based Machine Learning Classification Schemes for Lithological Mapping Enhancement of Semi-Arid Regions Using Sentinel-2A Imagery: A Case Study of the Southern Moroccan Meseta

open access: yesIEEE Access, 2021
Mapping lithological units of an area using remote sensing data can be broadly grouped into pixel-based (PBIA), sub-pixel based (SPBIA) and object-based (GEOBIA) image analysis approaches.
Imane Serbouti   +5 more
doaj   +1 more source

Comparison of PBIA and GEOBIA classification methods in classifying turbidity in reservoirs

open access: yesGeocarto International, 2021
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

Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imagery

open access: yesAnais da Academia Brasileira de Ciências, 2023
Mangroves occur in the tropics and subtropics. This region is constantly covered by clouds and therefore highly challenging to map and monitor. Technological advances in remote sensing have increased the flexibility of performing such analyses.
JOÃO PAULO N. LOPES   +3 more
doaj   +1 more source

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