Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning

1 code implementation • 22 Nov 2020 • Xinzheng Zhang, Hang Su, Ce Zhang, Xiaowei Gu, Xiaoheng Tan, Peter M. Atkinson

In this paper, a robust unsupervised approach is proposed for small area change detection from multi-temporal SAR images using deep learning.

Change Detection Clustering +2

A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet

no code implementations • 3 Mar 2020 • Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng, Xin Jian

Parallel FCM are utilized on these two mapped DDIs to obtain three types of pseudo-label pixels, namely, changed pixels, unchanged pixels, and intermediate pixels.

Change Detection Clustering +1

Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection

no code implementations • 17 Jan 2020 • Xinzheng Zhang, Guo Liu, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou, Yongming Li

The prediction of this Phase is the set of changed and unchanged superpixels.

Change Detection Clustering +1

AFA-PredNet: The action modulation within predictive coding

no code implementations • 11 Apr 2018 • Junpei Zhong, Angelo Cangelosi, Xinzheng Zhang, Tetsuya OGATA

The predictive processing (PP) hypothesizes that the predictive inference of our sensorimotor system is encoded implicitly in the regularities between perception and action.

Causal Inference

A Hierarchical Emotion Regulated Sensorimotor Model: Case Studies

no code implementations • 11 May 2016 • Junpei Zhong, Rony Novianto, Mingjun Dai, Xinzheng Zhang, Angelo Cangelosi

Inspired by the hierarchical cognitive architecture and the perception-action model (PAM), we propose that the internal status acts as a kind of common-coding representation which affects, mediates and even regulates the sensorimotor behaviours.