geodl: An R package for geospatial deep learning semantic segmentation using torch and terra. [PDF]
Maxwell AE, Farhadpour S, Das S, Yang Y.
europepmc +1 more source
A Conceptual Model Relationship between Industry 4.0-Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps. [PDF]
Yap CK, Al-Mutairi KA.
europepmc +1 more source
GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data [PDF]
The primary goal of collecting Earth observation (EO) imagery is to map, analyze, and contribute to an understanding of the status and dynamics of geographic phenomena. In geographic information science (GIScience), the term object-based image analysis (OBIA) was tentatively introduced in 2006.
Stefan Lang +2 more
exaly +4 more sources
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Image classification based on the linear unmixing and GEOBIA
Environmental Monitoring and Assessment, 2019Geographic Object-Based Image Analysis and linear unmixing are common methods in image classification. The purpose of this study is to analyze the classification efficiency by integrating these two methods in the mountain area. This research selected Jiangle County, Fujian, as a study area.
Chen, Liping, Sajjad, Saeed, Sun, Yujun
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A Fuzzy Spatial Reasoner for Multi-Scale GEOBIA Ontologies
Photogrammetric Engineering & Remote Sensing, 2015Abstract In Geographic Object-Based Image Analysis (GEOBIA) an image is partitioned into objects by a segmentation algorithm. These objects are then classified into semantic categories based on unsupervised/ supervised methods, or knowledge-based methods, such as an ontology.
Argyros Argyridis, Demetre P. Argialas
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Integrating GEOBIA, Machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops [PDF]
The objective of this study is to evaluate operational methods for creating a particular type of urban vegetation map—one focused on vegetation over rooftops (VOR), specifically trees that extend over urban residential buildings. A key constraint was the use of passive remote sensing data only.
Geoffrey J Hay
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Forest structure estimates with GEOBIA and multi-scale optical sensors
SPIE Proceedings, 2013The GEOBIA (GEOgraphic Object-Based Image Analysis) approach persists to reveal its effectiveness in remote sensing data analysis, which provides paradigms that integrate analyst’s expert knowledge to generate semantically meaningful image-segments.
Mustafa M. El Abbas +2 more
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Integration of SAR and GEOBIA for the Analysis of Time-Series Data
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018In this work, we present a new architecture for the analysis multitemporal SAR data combining classic synthetic aperture radar processing and geographical object-based image analysis. The architecture exploits the characteristics of the recently introduced RGB products of the Level- $1\alpha$ and Level- $1\beta$ families, employing self-organizing ...
Amitrano D. +6 more
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Using GEOBIA for feature extraction from multitemporal SAR images: Preliminary results
2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI), 2017In this paper, we explore the possibility to exploit GEOBIA concepts for extracting features from multitemporal SAR images. The proposed processing chain is feed by the recently introduced products of the Level-1a and Level-1β families and aims at providing an unsupervised tool for information extraction particularly oriented toward the end-user ...
Amitrano, Donato +6 more
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Dynamic evaluation of small urban green areas at local level using GEOBIA
2021<p>Urban green infrastructure has various benefits known as ecosystem services such as regulating, cultural, provisioning and supporting services. Among the provided benefits there are decrease of air temperature, increasing humidity and mitigating urban heat island as regulating services; human-nature relations as cultural services ...
Ana-Maria Popa +4 more
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