Search Results - "Sabo, Filip"
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Convolutional neural networks for global human settlements mapping from Sentinel-2 satellite imagery
Published in Neural computing & applications (01-06-2021)“…Spatially consistent and up-to-date maps of human settlements are crucial for addressing policies related to urbanization and sustainability, especially in the…”
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Automated global delineation of human settlements from 40 years of Landsat satellite data archives
Published in Big earth data (03-04-2019)“…This paper presents the analysis of Earth Observation data records collected between 1975 and 2014 for assessing the extent and temporal evolution of the…”
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3
Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping
Published in Big earth data (22-12-2017)“…Continuous global-scale mapping of human settlements in the service of international agreements calls for massive volume of multi-source, multi-temporal, and…”
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Leveraging ALOS-2 PALSAR-2 for Mapping Built-Up Areas and Assessing Their Vertical Component
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2020)“…Built-up areas extraction and characterization from remote sensing images is essential for monitoring urbanization and the associated challenges. This work…”
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Comparison of MODIS 250 m products for early corn yield predictions: a case study in Vojvodina, Serbia
Published in Open Geosciences (01-01-2016)“…The aim of the paper is to compare Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index ( ) products with different…”
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Land cover change detection by using remote sensing: A case study of Zlatibor (Serbia)
Published in Geographica Pannonnica (2015)“…Change detection is a process of detecting differences with the objects or phenomena which are observed in the different time intervals. In this study…”
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Crop yield estimation in 2014 for Vojvodina using methods of remote sensing
Published in Ratarstvo i povrtarstvo (01-01-2014)“…Monitoring phenology of crops and yield estimate based on vegetation indices as well as other parameters such as temperature or amount of rainfall were largely…”
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ClassONN: Classification with Oscillatory Neural Networks Using the Kuramoto Model
Published in 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE) (25-03-2024)“…Over the recent years, networks of coupled oscillators or oscillatory neural networks (ONNs) emerged as an alternative computing paradigm with information…”
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Conference Proceeding -
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Is deeper always better? Evaluating deep learning models for yield forecasting with small data
Published in Environmental monitoring and assessment (01-10-2023)“…Predicting crop yields, and especially anomalously low yields, is of special importance for food insecure countries. In this study, we investigate a flexible…”
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Comparison of built‐up area maps produced within the global human settlement framework
Published in Transactions in GIS (01-12-2018)“…The validation of built‐up areas derived from different sensors is crucial for gaining a deeper understanding of the consistency and interoperability between…”
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11
Implementation of FitzHugh-Nagumo Neurons using Nanoscale VO2 Devices
Published in 2024 IEEE European Solid-State Electronics Research Conference (ESSERC) (09-09-2024)“…This study focuses on exploiting phase-transition properties in VO 2 to develop a brain-inspired FitzHugh-Nagumo neuron. A key feature of our implementation is…”
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Conference Proceeding -
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Spatial analysis of high-resolution urban thermal patterns in Vojvodina, Serbia
Published in Geocarto international (28-05-2015)“…Main objective of this study was to establish a relationship between land cover and land surface temperature (LST) in urban and rural areas. The research was…”
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Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal
Published 08-02-2024“…Proceedings of the 2023 conference on Big Data from Space, Soille, P., Lumnitz, S. and Albani, S. editor(s), Publications Office of the European Union,…”
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Detection of Changes in Built-Up Areas with a Fully Convolutional Network in the Context of the European Settlement Map
Published in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (11-07-2021)“…This work presents a novel method for detecting newly built-up areas in Very High Resolution satellite imagery using Fully Convolutional Neural Networks. The…”
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Conference Proceeding -
15
Update and improvement of the European Settlement map
Published in 2019 Joint Urban Remote Sensing Event (JURSE) (01-05-2019)“…The revised and enhanced version of the new European Settlement Map is presented together with the first results. An added-value to the previous versions is…”
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Conference Proceeding -
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Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery
Published 29-10-2020“…Neural computing and Applications, 2020 Spatially consistent and up-to-date maps of human settlements are crucial for addressing policies related to…”
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