Results 21 to 30 of about 1,269 (149)

Geographic Object-Based Image Analysis: A Primer and Future Directions

open access: yesRemote Sensing, 2020
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

RESIDENTIAL CLASSIFICATION USING GEOBIA IN PART OF JAKARTA SUBURBAN AREA [PDF]

open access: yes, 2023
The increasing of urban population followed by socioeconomic problems leads to emerging various number of researchs in urban area, especially in Jakarta Metropolitan Area.
Hafiudzan, Akmal   +2 more
core   +1 more source

Mapeamento Geomorfológico Regional Semiautomatizado por Descoberta e Modelagem do Conhecimento

open access: yesRevista Brasileira de Geomorfologia, 2021
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

Extension of an Open GEOBIA Framework for Spatially Explicit Forest Stratification with Sentinel-2

open access: yesRemote Sensing, 2022
Spatially explicit information about forest cover is fundamental for operational forest management and forest monitoring. Although open-satellite-based earth observation data in a spatially high resolution (i.e., Sentinel-2, ≤10 m) can cover some ...
Melanie Brauchler   +2 more
doaj   +1 more source

COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE [PDF]

open access: yesEngenharia Agrícola, 2017
: The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects.
Victor H. R. Prudente   +4 more
doaj   +1 more source

Image Segmentation Parameter Optimization Considering Within- and Between-Segment Heterogeneity at Multiple Scale Levels: Test Case for Mapping Residential Areas Using Landsat Imagery

open access: yesISPRS International Journal of Geo-Information, 2015
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

Image Segmentation and Object-Based Image Analysis for Environmental Monitoring: Recent Areas of Interest, Researchers’ Views on the Future Priorities

open access: yesRemote Sensing, 2020
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

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

Exploring the Influence of Input Feature Space on CNN‐Based Geomorphic Feature Extraction From Digital Terrain Data

open access: yesEarth 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

Desempenho do Descritor Máxima Diferença na Classificação de Plantações de Eucalipto no Estado do Rio de Janeiro

open access: yesRevista Brasileira de Cartografia, 2019
O crescimento da área plantada de eucaliptos no Brasil vem sendo constatado por dados censitários, e a utilização de dados de sensoriamento remoto contribui para entender onde, quando e como este processo de crescimento acontece.
Debora da Paz Gomes Brandão Ferraz   +1 more
doaj   +1 more source

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