Results 21 to 30 of about 48,735,301 (199)

Urban building detection using object-based image analysis (OBIA) and machine learning (ML) algorithms

IOP Conference Series: Earth and Environmental Science, 2021
Abstract The information on building features especially in the urban area is very important to support urban management and development. Nevertheless, the automated and transferable detection of building features is still challenging because of variations of the spatial and spectral characteristics to support urban building ...
Masayu Norman, Hanani Mohd Shahar, Zuraihan Mohamad, Ashnita Rahim, Fazly Amri Mohd, Helmi Zulhaidi Mohd Shafri   +5 more
openaire   +1 more source

A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment

GIScience & Remote Sensing, 2021
Recent improvements in the spatial, temporal, and spectral resolution of satellite images necessitate (semi-)automated classification and information extraction approaches.
Bakhtiar Feizizadeh, Keyvan Mohammadzade Alajujeh, Tobia Lakes, Thomas Blaschke, Davoud Omarzadeh   +4 more
doaj   +1 more source

Benthic habitat mapping using Object-Based Image Analysis (OBIA) on Tidung Island, Kepulauan Seribu, DKI Jakarta [PDF]

IOP Conference Series: Earth and Environmental Science, 2021
Abstract Tidung Island is one of the islands in Kepulauan Seribu, DKI Jakarta, Indonesia. This island has various benthic that live on the coastal areas, and benthic habitat has various functions both ecologically and economically. Nowadays, remote sensing technology is one way to detect benthic habitats in coastal areas. Mapping benthic
M Hamidah, R A Pasaribu, F A Aditama
openaire   +1 more source

A REGION-BASED MULTI-SCALE APPROACH FOR OBJECT-BASED IMAGE ANALYSIS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Within the last two decades, object-based image analysis (OBIA) considering objects (i.e. groups of pixels) instead of pixels has gained popularity and attracted increasing interest.
T. Kavzoglu, M. Yildiz Erdemir, H. Tonbul   +2 more
doaj   +1 more source

Integration of Object-Based Image Analysis and Convolutional Neural Network for the Classification of High-Resolution Satellite Image: A Comparative Assessment

Applied Sciences, 2022
During the past decade, deep learning-based classification methods (e.g., convolutional neural networks—CNN) have demonstrated great success in a variety of vision tasks, including satellite image classification. Deep learning methods, on the other hand,
Omer Saud Azeez, Helmi Z. M. Shafri, Aidi Hizami Alias, Nuzul A. B. Haron   +3 more
doaj   +1 more source

Mine void identification using Object-based Image Analysis (OBIA) of satellite imagery Sentinel 2 data

Journal of Degraded and Mining Lands Management, 2023
Open pit mining is an extensively-used method in Indonesian coal mining. This method is characterized by the formation of mine void at the end of life-of-mine (LOM) due to insufficient material to backfill the mine-out areas. Mine voids are legally accepted as one of mine closure options and categorized as “<em>Reklamasi Bentuk Lain</em>” -
Leta Lestari, Ginting Jalu Kusuma, Abie Badhurahman, Sendy Dwiki, Rudy Sayoga Gautama   +4 more
openaire   +2 more sources

Object based classification of a riparian environment using ultra-high resolution imagery, hierarchical landcover structures, and image texture

Scientific Reports, 2022
Land cover mapping is an important part of resource management, planning, and economic predictions. Improvements in remote sensing, machine learning, image processing, and object based image analysis (OBIA) has made the process of identifying land cover ...
Kain Kutz, Zachary Cook, Marc Linderman
doaj   +1 more source

ASSESSMENT OF MULTIRESOLUTION SEGMENTATION FOR EXTRACTING GREENHOUSES FROM WORLDVIEW-2 IMAGERY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
The latest breed of very high resolution (VHR) commercial satellites opens new possibilities for cartographic and remote sensing applications. In this way, object based image analysis (OBIA) approach has been proved as the best option when working with ...
M. A. Aguilar, F. J. Aguilar, A. García Lorca, E. Guirado, M. Betlej, P. Cichon, A. Nemmaoui, A. Vallario, C. Parente   +8 more
doaj   +1 more source

A semi-automated method using object-based image analysis (OBIA) to detect and enumerate beluga whales in summer from very high-resolution (VHR) satellite imagery. [PDF]

PLoS One
Very high-resolution (VHR) satellite imagery has proven to be useful for detection of large to medium cetaceans, such as odontocetes and offers some significant advantages over traditional detection methods. However, the significant time investment needed to manually read satellite imagery is currently a limiting factor to use this method across large ...
Iacozza J, Sherbo B, Watt C.
europepmc   +5 more sources

Integrated Object-Based Image Analysis for semi-automated geological lineament detection in Southwest England [PDF]

, 2019
Regional lineament detection for mapping of geological structure can provide crucial information for mineral exploration. Manual methods of lineament detection are time consuming, subjective and unreliable.
Lusty, Paul A.J., Middleton, Maarit, Yeomans, Christopher M., Grebby, Stephen, Shail, Robin K.   +4 more
core   +1 more source