Towards Objects Detection Using Convolutional Neural Network from Unmanned Aerial Vehicle Imagery-Reference-Cited by-同舟云学术

Towards Objects Detection Using Convolutional Neural Network from Unmanned Aerial Vehicle Imagery

Published:2023-02-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 15th International Conference on Machine Learning and Computing
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Author:

Pacot Mark Phil Banaybanay¹^ORCID,Pitogo Vicente Aquino²^ORCID

Affiliation:

1. Department of Information Technology, Caraga State University, Philippines

2. Department of Information System, Caraga State University, Philippines

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3587716.3587769

Reference20 articles.

1. Crops Classification Using Imagery of Unmanned Aerial Vehicle (UAV)

2. Transactions of the Chinese Society of Agricultural Engineering 2016 32 Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

3. Rossana, Gini ( 2010 ). Processing of High Resolution and Multispectral Aerial Images for Forest DSM Production and Tree Classification. Accessed on https://www.politesi.polimi.it/bitstream/10589/5901/3/2010_1 2_Gini.pdf . Rossana, Gini (2010). Processing of High Resolution and Multispectral Aerial Images for Forest DSM Production and Tree Classification. Accessed on https://www.politesi.polimi.it/bitstream/10589/5901/3/2010_1 2_Gini.pdf.

4. Schott, John Robert ( 2007 ). Remote sensing: the image chain approach ( 2 nd ed.). Oxford University Press . p. 1. 99 978-0-19- 517817-3. Schott, John Robert (2007). Remote sensing: the image chain approach (2nd ed.). Oxford University Press. p. 1. 99 978-0-19- 517817-3.

5. Thomas Moranduzzo ( 2015 ). Detection And Analysis Methods For Unmanned Aerial Vehicle Images . International Doctorate School in Information and Communication Technologies, Department of Information Engineering and Computer Science , University of Trento . Thomas Moranduzzo (2015). Detection And Analysis Methods For Unmanned Aerial Vehicle Images. International Doctorate School in Information and Communication Technologies, Department of Information Engineering and Computer Science, University of Trento.