CubeSatNet: Ultralight Convolutional Neural Network designed for on-orbit binary image classification on a 1U CubeSat-Reference-Cited by-同舟云学术

CubeSatNet: Ultralight Convolutional Neural Network designed for on-orbit binary image classification on a 1U CubeSat

Author:

Maskey Abhas,Cho Mengu

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference44 articles.

1. A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility [WWW Document],2017

2. Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning. [WWW Document],2018

3. Onboard image processing for small Satellites;Arechiga,2018

4. 2017 Embedded Markets Study,2017

5. AI-OBC: Conceptual Design of a Deep Neural Network Based Next Generation Onboard Computing Architecture for Satellite Systems;Bappy,2019

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