A Lightweight Serial CNN Model for Remote Sensing Ship Target Recognition on FPGA-Reference-Cited by-同舟云学术

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A Lightweight Serial CNN Model for Remote Sensing Ship Target Recognition on FPGA

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)
language:
Short-container-title:

Author:

Wang Changyi¹,Yao Bowen¹,Liu Liansheng¹,Peng Yu¹

Affiliation:

1. Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China,150080

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872150/9872152/09872204.pdf?arnumber=9872204

Reference13 articles.

1. On-Board Intelligent Processing for Remote Sensing Images Based on 20KG Micro-Nano Satellite

2. On-Board Ship Detection in Micro-Nano Satellite Based on Deep Learning and COTS Component

3. Searching for MobileNetV3

4. PIL testing of the Optical On-board Image Processing Solution for EO-ALERT;membibre;ESA OBDP,2021

5. Detection of Ships in Harbor in Remote Sensing Image Based on Local Self-similarity;hu;Journal of Image and Graphics,2009

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1. An explainable embedded neural system for on-board ship detection from optical satellite imagery;Engineering Applications of Artificial Intelligence;2024-07

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