Energy-Efficient SAR Coherent Change Detection Based on Deep Multithreshold Spiking-UNet

Energy-Efficient SAR Coherent Change Detection Based on Deep Multithreshold Spiking-UNet

As a branch application of the synthetic aperture radar (SAR), coherent change detection (CCD) is commonly utilized to help differentiate specific changes from the unchanged scene. To exactly pick out manmade changes of interest from change maps, the introduction of artificial neural networks (ANNs)...

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Bibliographic Details
Main Authors: Xinyi Ye, Yanxing Liu, Zihan Wang, Yizhe Fan, Bingchen Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Coherent change detection (CCD)
fuzzy <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">c</italic>-means (FCM) clustering
Poisson spike encoding
spiking neural network (SNN)
synthetic aperture radar (SAR)
U-Net
Online Access:https://ieeexplore.ieee.org/document/11050980/
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