Toward object alphabet augmentation for object detection in very high‐resolution satellite images-Reference-Cited by-同舟云学术

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Toward object alphabet augmentation for object detection in very high‐resolution satellite images

Published:2021-12-20 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Laban Noureldin¹^ORCID,Abdellatif Bassam¹,Ebeid Hala M.²,Shedeed Howida A.²,Tolba Mohamed F.²^ORCID

Affiliation:

1. Data Reception and Analysis Division National Authority for Remote Sensing and Space Science Cairo Egypt

2. Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6785

Reference42 articles.

1. Towards Automated Ship Detection and Category Recognition from High-Resolution Aerial Images

2. Object Detection in Remote Sensing Images Based on a Scene-Contextual Feature Pyramid Network

3. Enhanced Feature Representation in Detection for Optical Remote Sensing Images

4. Architecture optimization model for the deep neural network for binary classification problems;Ukaoha KC;Int J Intell Comput Inf Sci,2020

5. City object detection from airborne Lidar data with OpenStreetMap‐tagged superpixels

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