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Semantic segmentation of satellite images with different building types using deep learning methods
In this study, using deep learning-based semantic segmentation methods, an automatic
building segmentation application was carried out with a remote sensing image on a sample …
building segmentation application was carried out with a remote sensing image on a sample …
AD-RoadNet: An auxiliary-decoding road extraction network improving connectivity while preserving multiscale road details
Z Luo, K Zhou, Y Tan, X Wang, R Zhu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Obtaining Road information from high-resolution remote sensing images is gaining attention
in intelligent transportation systems. Existing road extraction methods tend to improve road …
in intelligent transportation systems. Existing road extraction methods tend to improve road …
[PDF][PDF] Cross-sectional SWOT Analysis of BIM and GIS Integration
S Glinka - Geomatics and Environmental Engineering, 2022 - bibliotekanauki.pl
The integration of BIM (Building Information Modeling) and GIS (Geographic Information
System) technologies allows for added value in many fields; starting from the construction …
System) technologies allows for added value in many fields; starting from the construction …
[HTML][HTML] The use of deep learning methods for object height estimation in high resolution satellite images
S Glinka, J Bajer, D Wierzbicki, K Karwowska… - Sensors, 2023 - mdpi.com
Processing single high-resolution satellite images may provide a lot of important information
about the urban landscape or other applications related to the inventory of high-altitude …
about the urban landscape or other applications related to the inventory of high-altitude …
Deep learning for check dam area extraction with optical images and digital elevation model: a case study in the hilly and gully regions of the Loess Plateau, China
L Sun, H Guo, H Wang, B Zhang, H Feng… - Earth Surface …, 2023 - Wiley Online Library
Check dams are widely used on the Loess Plateau of China to control soil and water loss,
develop agricultural land and improve watershed ecology. Detailed information on the …
develop agricultural land and improve watershed ecology. Detailed information on the …
[HTML][HTML] Artificial Intelligence-Based Learning Approaches for Remote Sensing
G Jeon - Remote Sensing, 2022 - mdpi.com
Remote sensing (RS) is a method for understanding the ground and for facilitating human–
ground communications. New developments in RS have led to HR (highresolution) …
ground communications. New developments in RS have led to HR (highresolution) …
Derin öğrenme uygulamalarında kullanılan uzaktan algılama verilerinden oluşturulmuş açık kaynaklı bina veri setleri: Karşılaştırmalı değerlendirme
Bina çıkarımı; arazi kullanımı, şehir planlaması, afet izleme, navigasyon, coğrafi veri
tabanlarının güncellenmesi ve kentsel dinamik izleme gibi çeşitli mekânsal uygulamalarda …
tabanlarının güncellenmesi ve kentsel dinamik izleme gibi çeşitli mekânsal uygulamalarda …
[PDF][PDF] Sat4BIM4D—the concept of using satellite remote sensing to monitor construction progress in conjunction with BIM
S Glinka - Reports on Geodesy, 2024 - intapi.sciendo.com
Monitoring the progress of construction work and adhering to the schedule is crucial for the
timely completion of projects. Integrating data from various sensors (eg, cameras, laser …
timely completion of projects. Integrating data from various sensors (eg, cameras, laser …
[PDF][PDF] TerraGrid: Harnessing Deep Learning Models for Satellite Image Segmentation
N Pal, S Ramkrishna, H Patil, N Choudhary… - International Journal of … - researchgate.net
Satellite imaging is a backbone of environmental monitoring and urban planning. State-of-
the-art methodologies for image segmentation are extremely needed to process huge …
the-art methodologies for image segmentation are extremely needed to process huge …