… sensing applications, especially change detection. The main aim of this paper is to provide
a summary of change detection methods based on deep learning, especially using HR …

… representation; improved change detection methods; and … of deep learning in change
detection applications. … change detection and larger scale (eg global scale) in the future. …

… datasets to detect large-scale urban semantic changes in complex … a large-scale ultra high
resolution (0.1 m) UCD dataset for deep learning based BCD and semantic change detection (…

… In this paper, a novel deep learning architecture is proposed for change detection that targets
higher level inferencing. The new network architecture involves extracting features using …

… The proposed method has the potential to be applied in the large scale land use fine
change detection problem and qualitative and quantitative research on land use/cover …

… Thus, Figure 3 demonstrates the general flow of change detection based on deep learning,
and this section explains the components of the change detection architecture and their …

… two techniques for advancing change detection techniques are unexplored in … change
detection method implementing change feature extraction using convolutional neural networks …

… Land cover and its change are crucial for many … cover classification and change detection
with multitemporal and … cover change detection task, we rely on two different deep learning …

… In addition, to better facilitate the implementation of the proposed methods, we construct
a large scale data set for change detection. It contains 29000 pairs of remote sensing image …

… image analysis and deep learning, in this article, we propose an unsupervised scale-driven …
four data sets are done, covering from small scale to large scale, as listed in Table VI. For the …