Highlights of this article include: (1) proposing a novel unsupervised binary CD method that presents better performance; (2) proposing an advanced sample ...

Compared with supervised CD methods, unsupervised methods are more popular, since they can identify changes automatically.

Mar 22, 2022 · First, a pre-trained CNN is employed to produce deep features of two images, and a pseudo change map is yielded based on change vector analysis.

Mar 25, 2023 · The experimental results on both VHR optical and SAR images demonstrate the superiority and effectiveness of the proposed method. Keywords:.

This paper presents a novel object-based approach for unsupervised change detection with focus on individual buildings. First, a principal component analysis ...

This paper presents a method of detecting land cover changes in high-spatial-resolution remote sensing imagery.

It combines spatial-spectral feature analysis and metric learning to ensure that the resulting CD maps are satisfactory. Furthermore, training with the joint CD.

The proposed approach consists of three steps, including: (1) change vector produced in posterior probability space, (2) binary change detection via TLCVA, and ...

The approach effectively detects changes without relying on labelled data, making it suitable for situations where obtaining such data is challenging. However, ...

This work proposes a dual path denoising network (DPDNet) for SAR image change detection and introduces the random label propagation to clean the label ...