SAR vehicle image generation with integrated deep imaging geometric information
Deep learning is widely applied in synthetic aperture radar (SAR) target recognition. However, the high cost of collecting real SAR target data leads to insufficient data volume and diversity of SAR target datasets, making it challenging to support deep learning models. Therefore, it is necessary to...
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Published in | International journal of applied earth observation and geoinformation Vol. 132; p. 104028 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.08.2024
Elsevier |
Subjects | |
Online Access | Get full text |
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