no code implementations • 17 May 2023 • Shizhen Chang
Copy-move forgery detection is a crucial research area within digital image forensics, as it focuses on identifying instances where objects in an image are duplicated and placed in different locations.
1 code implementation • 3 Apr 2023 • Shizhen Chang, Pedram Ghamisi
In this study, we highlight the significance of accurately describing changes in remote sensing images and present a comparison of the change captioning task for natural and synthetic images and remote sensing images.
1 code implementation • 3 Apr 2023 • Shizhen Chang, Michael Kopp, Pedram Ghamisi
In this paper, we propose a Deep Supervision and FEature Retrieval network (Dsfer-Net) for bitemporal change detection.
no code implementations • 19 Dec 2022 • Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi
Recent advances in artificial intelligence (AI) have significantly intensified research in the geoscience and remote sensing (RS) field.
1 code implementation • 9 Oct 2022 • Shizhen Chang, Michael Kopp, Pedram Ghamisi
In this paper, inspired by the sketched representation and multi-view subspace learning, a sketched multi-view subspace learning (SMSL) model is proposed for HSI anomalous change detection.
1 code implementation • 18 Mar 2022 • Shizhen Chang, Pedram Ghamisi
CR-based detectors approximate the image by a linear combination of background dictionaries and the coefficient matrix, and derive the detection map by utilizing recovery residuals.