A Weakly-Supervised Change Detection Technique for SAR Images Based on Deep Learning and Synthetic Training Data Generated by an Ensemble of Self-Organizing Maps - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Victor-Emil Neagoe, Adrian-Dumitru Ciotec, Lorenzo Bruzzone. A Weakly-Supervised Change Detection Technique for SAR Images Based on Deep Learning and Synthetic Training Data Generated by an Ensemble of Self-Organizing Maps. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019. pages 1669-1672, IEEE, 2019. [doi]

This author has not been identified. Look up 'Victor-Emil Neagoe' in GoogleThis author has not been identified. Look up 'Adrian-Dumitru Ciotec' in GoogleThis author has not been identified. Look up 'Lorenzo Bruzzone' in Google

runs on WebDSL