Feb 24, 2018 · The conventional synthetic aperture radar (SAR) image registration focuses on designing diverse hand-crafted features and distance metrics.
Local convolutional features and metric learning for SAR image registration. Qiangliang Guo, Jin Xiao, Xiaoguang Hu, Baochang Zhang. 2019, Cluster Computing.
摘要. The conventional synthetic aperture radar (SAR) image registration focuses on designing diverse hand-crafted features.
The conventional synthetic aperture radar (SAR) image registration focuses on designing diverse hand-crafted features and distance metrics.
This paper presents a brief review of evolution of different image registration methodologies with challenges involved in it.
We propose a deep learning-based approach called,. Image Despeckling Convolutional Neural Network (ID-CNN), for automatically removing speckle from the input ...
Missing: registration. | Show results with:registration.
Dec 9, 2022 · Synthetic Aperture Radar (SAR) target detection is a significant research direction in radar information processing.
The registration of synthetic aperture radar (SAR) and optical images is a meaningful but challenging multimodal task. Due to the large radiometric ...
SAR Image Matching Based on Local Feature Detection and Description ...
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May 24, 2022 · The big challenge in this study is how to modify a pretrained Visual Geometry Group model based on the multispectral dataset to act as a SAR ...
Oct 22, 2024 · In the first stage, a convolutional neural network (CNN) is trained for normal SAR image classification task. After training, the sample ...