CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors

Jin-Ju Wang; Nicolas Dobigeon; Marie Chabert; Dingcheng Wang; Ting‐Zhu Huang; Jie Huang

doi:10.1016/j.inffus.2024.102313

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CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors

Jin-Ju Wang Nicolas Dobigeon Marie Chabert Dingcheng Wang Ting‐Zhu Huang Jie Huang

Year: 2024 Journal: Information Fusion Vol: 107 Pages: 102313-102313 Publisher: Elsevier BV

DOI: 10.1016/j.inffus.2024.102313

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Keywords:

Computer science Change detection Fuse (electrical) Artificial intelligence Context (archaeology) Spatial contextual awareness Task (project management) Pattern recognition (psychology) Adversarial system Sensor fusion Computer vision

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors

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