The constructing extraction and the reconstruction from the satellite images is one in every of the most important challenge presently in many purposes like associated urban development, real-time navigation, inside the building statistics is also bought from the numerous Rather of terrestrial measurements, plane surveys, or space carried photography, where space borne platform will helps to provide imagery remote locations they are inaccessible to other missions. Because having vast diversity of building appearances they relatively having low spatial decision and satellite recordings compared with airborne data, extracting building footprints with the Very High Resolution satellite tv for pc photos is likewise a necessary but unexpectedly challenging operation. To operate the endeavor of building footprint extraction, numerous algorithms are constructed on spectral-based standards from single data sources. This device works by combining Sentinel-1, Sentinel-2 data with having Open Street Map helps to training the deep learning models like street detection and construction.
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14 December 2023
INTERNATIONAL CONFERENCE ON INNOVATIONS IN ROBOTICS, INTELLIGENT AUTOMATION AND CONTROL
14 October 2022
Coimbatore, India
Research Article|
December 14 2023
Rural built-up area extraction from satellite images using deep neural network
Shima Ramesh Maniyath;
Shima Ramesh Maniyath
a)
1
Dept. of ECE, MVJ College of Engineering
, Bangalore, India
a)Corresponding author: [email protected]
Search for other works by this author on:
a)Corresponding author: [email protected]
AIP Conf. Proc. 2914, 050011 (2023)
Citation
Shima Ramesh Maniyath, K. Leena; Rural built-up area extraction from satellite images using deep neural network. AIP Conf. Proc. 14 December 2023; 2914 (1): 050011. https://doi.org/10.1063/5.0176046
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