Results 181 to 190 of about 2,899 (211)
Some of the next articles are maybe not open access.

Weakly supervised fully convolutional networks using OBIA classification output

2019 Joint Urban Remote Sensing Event (JURSE), 2019
In this paper, we present a methodology for preparing reference data to be used in training a fully convolutional neural network. It is a laborious and timeconsuming task to prepare adequate training data for a Fully convolutional network (FCN) since the tiles need to be fully labeled.
Nicholus Mboga   +5 more
openaire   +2 more sources

Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees

open access: yesSmart Agricultural Technology
The identification of individual trees is an important research topic in forestry, remote sensing and computer vision. It represents a tool for effectively and efficiently managing and maintaining forests and orchards. However, this task is not as simple
Hafida Zahir   +3 more
exaly   +2 more sources

Landslide detection and characterization based on OBIA methodology and UAV photogrammetry

2021
Modeling natural hazards in 3D space constitute a significant step for managing and planning our living environment. The creation of accurate maps is needed to document the impact of natural hazards such as landslides. Loss of life, natural resources or property transform landslide phenomenon to a natural disaster.
openaire   +1 more source

Cropland Extraction Based on OBIA and Adaptive Scale Pre-estimation

Photogrammetric Engineering & Remote Sensing, 2016
Object-based image analysis (OBIA) provides a solution for cropland extraction from high spatial resolution remote sensing images. Currently, scale parameter selection is often dependent on subjective trial-and-error methods or post-evaluation of multi-segmentation, which directly reduces efficiency of cropland extraction.
Dongping Ming   +3 more
openaire   +1 more source

Landslide detection and characterization based on OBIA methodology and UAV photogrammetry

2022
Η μοντελοποίηση των φυσικών καταστροφών σε τρισδιάστατο χώρο αποτελεί ένα σημαντικό βήμα για την διαχείριση του οικοσυστήματος στο οποίο ζούμε. Η διαχείριση φυσικών καταστροφών όπως οι κατολισθήσεις απαιτούν σχεδιασμό και προγραμματισμό για την αποφυγή τραυματισμών και ανθρώπινων απωλειών.
openaire   +1 more source

Monte Zara - Is Obias (2022)

"Nei mesi di settembre e inizio ottobre 2022 l’Università degli Studi di Milano ha proseguito le indagini sul Monte Zara, località Is Obias, nel territorio comunale di Monastir (SU), effettuando la settima campagna di scavo in regime di concessione ministeriale.
openaire   +1 more source

OBIA ship detection with multispectral and SAR images: A simulation for Copernicus security applications

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Every day, ships of different type, size and origin cross the world seas. Not only for commerce and transport, but also for illegal activities. In addition to conventional positioning and tracking systems, detection with Earth observation satellites is an effective means to monitor human movements across the sea.
GIANINETTO, MARCO   +7 more
openaire   +2 more sources

UAV Photogrammetry and OBIA Classification for Decay Mapping in Built Heritage

2025 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)
One of the first steps in the development of BIM (Building Information Model) for existing structure is linked to the acquisition and mapping of decay information. Currently, the most widely used practice is visual inspection carried out by experts in the field an based on visual inspection, that requires significant effort in terms of time, human ...
Maria Alicandro   +3 more
openaire   +1 more source

Perbandingan Parameter Segmentasi OBIA dalam Klasifikasi Tutupan Lahan

2022
Object Based Image Analysis (OBIA) merupakan metode klasifikasi citra yang populer karena tidak hanya bergantung pada piksel citra (pixel-based) namun juga parameterparameter lainnya berbasis objek. Terdapat dua tahap dalam metode OBIA yaitu segmentasi dan klasifikasi. Pada tahap segmentasi, terdapat beberapa parameter yang digunakan.
Koman, Wening Aisyah Fauziana   +2 more
openaire   +1 more source

The potential of OBIA for SAR-based flood mapping

2018
In our changing world, floods are a threat of increasing importance causing major fatalities and economic losses. Within this perspective, flood extent mapping is of great importance for both damage assessment and improving flood forecasts. While flood mapping through optical imagery is often hampered by the presence of clouds, Synthetic Aperture Radar
Landuyt, Lisa   +3 more
openaire   +1 more source

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