Robust Matching for SAR and Optical Images Using Multiscale Convolutional Gradient Features

Image matching is a key preprocessing step for the integrated application of synthetic aperture radar (SAR) and optical images. Due to significant nonlinear intensity differences between such images, automatic matching for them is still quite challenging. Recently, structure features have been effec...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-5
Hauptverfasser:	Zhou, Liang, Ye, Yuanxin, Tang, Tengfeng, Nan, Ke, Qin, Yao
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive optics Artificial neural networks Deep learning Feature extraction Feature maps Image matching Kernel Methods multiscale convolutional gradient feature (MCGF) Night vision Optical imaging Optical sensors pseudo-Siamese network Radar imaging SAR (radar) Synthetic aperture radar synthetic aperture radar (SAR) and optical images Template matching Training
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