@inproceedings{21d9c71c89ea4f93871b2c0b95c76efc,
title = "Change detection of floating net cages quantities utilizing faster R-CNN",
abstract = "The aquaculture method uses floating net cages are the most productive fish farming techniques. We utilize deep learning for change detection and monitoring of floating net cages quantities by detecting & counting the number of floating net cages plots on the same Region of Interest (RoI) in different years using google earth satellite imagery. The proposed methods apply Faster R-CNN for detection purposes and compare Faster R-CNN between using NASNet-A and inception-v2 as the feature extractor. Our experiments have been conducted on annotation images by cropping google earth images to demonstrate the effectiveness and efficiency of the proposed method. The results show that Faster R-CNN using NASNet-A achieves higher accuracy with longer training time. In addition, Faster R-CNN with inception-v2 network also provided promising results with lower training time.",
keywords = "Faster R-CNN, Floating net cages, Google earth, Inception-v2, Nasnet-a",
author = "Irwan Priyanto and Hartanto, {Cahyo Adhi} and Arymurthy, {Aniati Murni}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020 ; Conference date: 15-09-2020 Through 16-09-2020",
year = "2020",
month = sep,
day = "15",
language = "English",
series = "2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "140--145",
editor = "Indra Hermawan and Rasyidin, {Muhammad Yusuf Bagus} and Malisa Huzaifa and {Ermis Ismail}, Iklima and Muharram, {Asep Taufik} and Anggi Mardiyono and Noorlela Marcheeta and Dewi Kurniawati and Yuly, {Ade Rahma} and Suhanda, {Ariawan Andi}",
booktitle = "2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020",
address = "United States",
}