Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images

Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images

Convolutional neural networks (CNN) have shown great results for object-detection tasks by learning texture and pattern-extraction filters. However, object-level interactions are harder to grasp without increasing the complexity of the architectures. On the other hand, Point Process models propose t...

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Bibliographic Details
Main Authors: Jules Mabon, Mathias Ortner, Josiane Zerubia
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
convolutional neural networks
point process
energy-based models
remote sensing
Online Access:https://www.mdpi.com/2072-4292/16/6/1019

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https://www.mdpi.com/2072-4292/16/6/1019

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