Results 181 to 190 of about 9,304 (219)

Use of OBIA for extraction of cadastral parcels

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
With the increased availability of High Resolution Satellite Imagery (HRSI), the Object based Image Analysis (OBIA) has now become an indispensable tool for analysis and modeling in Remote Sensing technology. The OBIA basically consist of image segmentation, object attribution and classification.
Ganesh Khadanga   +2 more
exaly   +2 more sources

OBIA based hierarchical image classification for industrial lake water

Science of The Total Environment, 2014
Water management is very important in water mining regions for the sustainability of the natural environment and for industrial activities. This study focused on Acigol Lake, which is an important wetland for sodium sulphate (Na2SO4) production, a significant natural protection area and habitat for local bird species and endemic species of this saline ...
Z.D. Uca Avci   +4 more
openaire   +3 more sources

Classification of Open Water Features Using OBIA and Deep Learning

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
This research presents the findings of a study where Sentinel-2 optical satellite imagery was assessed for its boreal open water mapping capabilities using a deep learning algorithm and an object-oriented image analysis approach [1]. Key components within the workflow of this study included the following: 1) segmentation of the optical imagery into ...
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

Perbandingan Parameter Segmentasi OBIA dalam Klasifikasi Tutupan Lahan

Jurnal Paradigma: Jurnal Multidisipliner Mahasiswa Pascasarjana Indonesia, 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

Increasing the UAV data value by an OBIA methodology

Image and Signal Processing for Remote Sensing XXIII, 2017
8
Garcia-Pedrero, Ángel   +4 more
openaire   +2 more sources

Lidarscapes and OBIA

2012
Object based image analysis (OBIA) may has evolved as a new paradigm in remote sensing and image processing. In this paper, we study some fundamental issues arising from the creation, handling, storage, and use of geographic information in an OBIA environment with a particular focus on LiDAR data.
Blaschke, Thomas, Tomljenović, Ivan
openaire   +2 more sources

OBIA in the Neusiedlersee region

2017
In dieser Arbeit geht es darum, wie die objektorientierte Bildanalyse (OBIA) in der eCognition Developer Software durchgeführt werden kann - es wird beschrieben, wie das Satellitenbild mit verschiedenen Werkzeugen des Programms segmentiert und klassifiziert werden kann. Es ist immer wichtiger geworden, die Forschungsergebnisse zu kategorisieren und die
openaire   +1 more source

Earthquake-collapsed building extraction from LiDAR and aerophotograph based on OBIA

The 2nd International Conference on Information Science and Engineering, 2010
Estimation of damages caused by a large earthquake is a major task in the post disaster mitigation process. To enhance the relief and rescue operation in the affected area it is required to receive rapid, accurate knowledge about the conditions of damaged area.
null Yu Haiyang   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy