… In this paper, we present a comprehensive review of change detection based on deep
learning using high-spatial-resolution images, which covers the most popular feature extraction …

… In this review, image features designed for VHR change detection are divided into the following
categories: textural, deep, object based, and angular (Figure 3). These are potentially …

… Remote Sensing Images In this paper, change detection in multitemporal VHR images is …
approach to the design of novel change-detection systems for multitemporal VHR images. …

… Ratioing red and near-infrared bands of a Landsat MSS–SPOT high resolution visible image
(HRV) (XS) multi-temporal pair produced substantially higher change detection accuracy (…

… steps involved in a change detection, summarises major change detection methods, …
change detection algorithms and finally discusses the needs of developing new change detection …

… Based on multi-temporal RS images acquired at the same geographical areas, the task
of change detection (CD) is the process of identifying differences in the state of an object or …

… For this reason, change detection (CD) has an increasing importance in the field of remote
… -based approach to change detection in very high resolution multitemporal images,” in Proc. …

… has been recently applied to VHR image change detection with very highly accurate results
[… change detection has been applied to Landsat Enhanced Thematic Mapper Plus imagery, …

… We try to apply this method to the change detection of high-resolution remote sensing images
and regard the”changed” in remote sensing images as the target to be detected, while the”…

… Transferring these networks for change detection task still poses some key issues. … image
fusion network (IFN) for change detection in high resolution bi-temporal remote sensing images…