… VHR images and on the adaptation of existing automatic classification techniques to discover
changes… to deal with supervised change detection in VHR images by integrating spatial …

… In this paper, a CNN-based unsupervised technique for detecting changes in multitemporal
VHR optical images has been proposed. VHR images are highly complex and pixels have …

… 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 …

… phenomena that result in changes on the Earth … be detected developing changedetection
(CD) techniques capable to automatically identify changes occurred between two VHR images …

… change detection (LCCD) approaches applied on very high resolution (VHR) remote sensing
images … is proposed to detect land cover change with VHR remote sensing images. First, …

… to supervised change detection using uncertainty analysis for very high resolution (VHR)
images. … supplies an effective approach for the supervised change detection for VHR images. …

… for change feature learning. In this work, a feature constraint change detection network (…
dual encoder-decoder network backbone for the change detection task. At the center of the …

… satellite images with Very High spatial Resolution (VHR) … In the context of this paper, we
define VHR images as those … These images allow a detailed geometrical analysis when …

… methods perform comparisons between various image components such as image pixels…
change detection using VHR images, we find that straight line segments are appropriate image …

… availability of VHR images, the … based change detection (OBCD) has become increasingly
popular as it can properly exploit the specific properties of VHR images and detect changes at …