Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network-Reference-Cited by-同舟云学术

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Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network

Published:2022-09 Issue:3 Volume:8 Page:347-351
ISSN:2405-9595
Container-title:ICT Express
language:en
Short-container-title:ICT Express

Author:

Inthizami Naili Suri,Ma’sum M. Anwar,Alhamidi Machmud R.^ORCID,Gamal Ahmad,Ardhianto Ronni,Kurnianingsih ,Jatmiko Wisnu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference10 articles.

1. Banjir, Bencana alam mematikan hingga agustus 2020;BNPB,2020

2. Object-contextual representations for semantic segmentation;Yuan,2019

3. Methods and datasets on semantic segmentation: A review;Yu;Neurocomputing,2018

4. Semantic segmentation of UAV aerial videos using convolutional neural networks;S.,2019

5. Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation;Zhu;J. Vis. Commun. Image Represent.,2016

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1. Unsupervised Color-Based Flood Segmentation in UAV Imagery;Remote Sensing;2024-06-12

2. Bibliometric Analysis: Research Trends in Leaf Image Segmentation and Classification;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21

3. Dataset for flood area recognition with semantic segmentation;Data in Brief;2023-12

4. A novel convolutional neural network model with hybrid attentional atrous convolution module for detecting the areas affected by the flood;Earth Science Informatics;2023-11-24

5. Maximum Activation 3D Cube Transition System for Virtual Emotion Surveillance;IEEE Communications Letters;2023-07

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