Results 21 to 30 of about 49,010,873 (166)
Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping [PDF]
Remote Sensing, 2019 Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) contributes to the identification of meaningful objects. In fusing data from multiple sensors, the number of feature variables is increased and object identification becomes a challenging task. We propose a methodological contribution that extends feature variable characterisation.
Jagannath Aryal +2 more
exaly +4 more sources
Remote SensingIdentifying urban buildings in high-resolution RGB images presents challenges, mainly due to the absence of near-infrared bands in UAVs and Google Earth imagery and the diversity in building attributes.
Mohammad D. Hossain, Dongmei Chen
doaj +2 more sources
Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis [PDF]
Sensors, 2014 Detailed information on tree cover structure is critical for research and monitoring programs targeting African woodlands, including agroforestry parklands.
Martin Karlson +2 more
doaj +2 more sources
Benchmarking the Applicability of Ontology in Geographic Object-Based Image Analysis [PDF]
ISPRS International Journal of Geo-Information, 2017 In Geographic Object-based Image Analysis (GEOBIA), identification of image objects is normally achieved using rule-based classification techniques supported by appropriate domain knowledge.
Sachit Rajbhandari +4 more
doaj +3 more sources
A COGNITIVE APPROACH TO TEACHING A GRADUATE-LEVEL GEOBIA COURSE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Remote sensing image analysis training occurs both in the classroom and the research lab. Education in the classroom for traditional pixel-based image analysis has been standardized across college curriculums.
R. A. Bianchetti
doaj +1 more source
From pixels to grixels: a unified functional model for geographic-object-based image analysis [PDF]
, 2008 Geographic Object-Based Image Analysis (GEOBIA) aims to better exploit earth remotely sensed imagery by focusing on building image-objects resembling the real-world objects instead of using raw pixels as basis for classification.
Lizarazo, Ivan, Elsner, Paul
core +7 more sources
An investigation of geographic object based image analysis (GEOBIA) for human settlement detection in South Africa [PDF]
Abstracts of the ICA, 2019 Abstract. The changes to the landscape are constantly occurring both naturally and human induced. One of such changes is the human settlement expansion. The ability to map human settlements is vital for variety of studies including urban development planning and management.
Ngcofe, Luncedo, Mudau, Nale
openaire +2 more sources
COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE [PDF]
Engenharia 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
Remote Sensing, 2023 The use of pixel-based remote sensing techniques in archaeology is usually limited by spectral confusion between archaeological material and the surrounding environment because they rely on the spectral contrast between features.
Olaotse Lokwalo Thabeng +2 more
doaj +1 more source
Boletim Paranaense de Geociências, 2021 Nos tempos atuais, com as medidas ambientais em evidência, é comum a discussão sobre melhores maneiras de obter informações cartográficas sobre as áreas degradadas. já que essas, são de suma importância para a efetividade de alguns programas como: Cadastro Ambiental Rural (CAR) e o Programa de Recuperação Ambiental (PRA).As degradações do solo, do tipo
João Edson Costa Ferreira da Silva +3 more
openaire +3 more sources