Residual-Based Implicit Neural Representation for Synthetic Aperture Radar Images
Implicit neural representations (INRs) are a new way to represent all kinds of signals ranging from 1D audio to 3D shape signals, among which 2D images are the most widely explored due to their ubiquitous presence. Image INRs utilize a neural network to learn a continuous function that takes pixel c...
| Published in: | Remote Sensing |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/23/4471 |