Methodology for classifying objects in high resolution optical images, using deep learning techniques

Lucas Herrera, Wilver Auccahuasi, Antenor Leva, Kitty Urbano, Edward Flores, Michael Flores, Javier Flores, César Santos, Sergio Arroyo, Karin Rojas, Patricia Bejarano, Fernando Sernaque

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The classification of objects that are present in the images or in the videos, is being developed progressively obtaining good results thanks to the use of Convolutional Networks, in this work we also use the convolutional networks for detection of objects that are present in high resolution satellite images, tests were carried out on ships that are on the high seas and in the ports, this classification is useful for monitoring the coasts, as well as for analysing the dynamics of the ships can be applied in the search of ships, to cover this task of classifying ships in the spectral images, the use of high resolution satellite images of coastal areas and with a large number of ships is used, in order to build a set of images, containing images of the ships, in order to be used for training setting and testing of the convolutional network, a very particular configuration of the convolutional network caused by the particularity of high resolution satellite images is presented, the methodology developed indicating the procedures performed is also presented, a set of images containing 300 was built images of ships that are in the sea or are anchored in the ports, the results obtained in the classification using the convolutional networks are acceptable to be able to be used in different applications.

Original languageEnglish
Title of host publication2nd International Conference on Circuits, Signals, Systems and Securities, ICCSSS 2022
EditorsR. Harikumar, C. Ganesh Babu, C. Poongodi
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735444072
DOIs
StatePublished - 4 Apr 2023
Externally publishedYes
Event2nd International Conference on Circuits, Signals, Systems and Securities, ICCSSS 2022 - Sathyamangalam, India
Duration: 25 Mar 202226 Mar 2022

Publication series

NameAIP Conference Proceedings
Volume2725
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2nd International Conference on Circuits, Signals, Systems and Securities, ICCSSS 2022
Country/TerritoryIndia
CitySathyamangalam
Period25/03/2226/03/22

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