SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images

• Published in: IEEE transactions on geoscience and remote sensing Vol. 59; no. 7; pp. 5891 - 5906
• Main Authors: Peng, Daifeng, Bruzzone, Lorenzo, Zhang, Yongjun, Guan, Haiyan, Ding, Haiyong, Huang, Xu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Automation; Buildings; Change detection; Change detection (CD); Data; Data models; Deep learning; deep learning (DL); Detection; Discriminators; Entropy; feature distribution; Feature extraction; generative adversarial network (GAN); Generative adversarial networks; High resolution; Image resolution; Image segmentation; Information processing; Machine learning; Methods; Neural networks; Remote sensing; remote sensing (RS); Resolution; semisupervised convolutional network; Task analysis; Training

Change detection (CD) is one of the main applications of remote sensing. With the increasing popularity of deep learning, most recent developments of CD methods have introduced the use of deep learning techniques to increase the accuracy and automation level over traditional methods. However, when u...