Palm Trees Counting Using MobileNet Convolutional Neural Network in Very High-Resolution Satellite Images-Reference-Cited by-同舟云学术

Palm Trees Counting Using MobileNet Convolutional Neural Network in Very High-Resolution Satellite Images

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)
language:
Short-container-title:

Author:

Prabowo Yudhi¹,Pradono Kuncoro Adi²,Amriyah Qonita³,Rasyidy Fadillah Halim⁴,Carolita Ita⁴,Setiyoko Andie⁴,Candra Danang Surya⁴,Musyarofah ⁴,Ulfa Kurnia⁴,Hestrio Yohanes Fridolin⁴

Affiliation:

1. Research Center for Hydrodynamics Technology,National Research and Innovation Agency (BRIN),Yogyakarta,Indonesia

2. National Research and Innovation Agency (BRIN),Directorate of Laboratory Management, Research Facilities, and Science and Technology Park,Jakarta,Indonesia

3. Center for Data and Information,National Research and Innovation Agency (BRIN),Jakarta,Indonesia

4. Research Center for Remote Sensing,National Research and Innovation Agency (BRIN),Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10093229/10093243/10093287.pdf?arnumber=10093287

Reference15 articles.

1. Cotton Stand Counting from Unmanned Aerial System Imagery Using MobileNet and CenterNet Deep Learning Models

2. Deep Learning Dataset for Estimating Burned Areas: Case Study, Indonesia

3. An Efficient Multi-Level Convolutional Neural Network Approach for White Blood Cells Classification

4. Cloud Detection for Pleiades and SPOT 6/7 Imageries Using Modified K-means and Deep Learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative Analysis of Advanced Models for Satellite-Based Aircraft Identification;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28