Results 11 to 20 of about 21,460,949 (310)
VcT: Visual Change Transformer for Remote Sensing Image Change Detection [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2023 Given two remote sensing images, the goal of visual change detection task is to detect significantly changed areas between them. Existing visual change detectors usually adopt convolutional neural networks (CNNs) or transformers for feature ...
Bo Jiang +6 more
semanticscholar +1 more source
Exchanging Dual-Encoder–Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2023 Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection. However, the widely used multiple encoders and single decoder (MESD)
Sijie Zhao +3 more
semanticscholar +1 more source
Fully Convolutional Siamese Networks for Change Detection [PDF]
International Conference on Information Photonics, 2018 This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images. Most notably, we propose two Siamese extensions of fully convolutional networks which use heuristics about the ...
R. C. Daudt +2 more
semanticscholar +1 more source
Remote Sensing, 2020 Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images. Given two co-registered images taken at different times, the illumination variations and misregistration errors overwhelm the real ...
Hao Chen, Zhenwei Shi
semanticscholar +1 more source
CAAI Transactions on Intelligence Technology, 2023 Recently, ground coverings change detection (CD) driven by bitemporal hyperspectral images (HSIs) has become a hot topic in the remote sensing community. There are two challenges in the HSI‐CD task: (1) attribute feature representation of pixel pairs and
Chengle Zhou +5 more
doaj +1 more source
Fully Convolutional Change Detection Framework With Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Deep learning for change detection is one of the current hot topics in the field of remote sensing. However, most end-to-end networks are proposed for supervised change detection, and unsupervised change detection models depend on traditional pre ...
Chen Wu, Bo Du, L. Zhang
semanticscholar +1 more source
Change detection: training and transfer. [PDF]
PLoS ONE, 2013 Observers often fail to notice even dramatic changes to their environment, a phenomenon known as change blindness. If training could enhance change detection performance in general, then it might help to remedy some real-world consequences of change ...
John G Gaspar +4 more
doaj +1 more source
Deep learning for change detection in remote sensing: a review
Geo-Spatial Information Science, 2022 A large number of publications have incorporated deep learning in the process of remote sensing change detection. In these Deep Learning Change Detection (DLCD) publications, deep learning methods have demonstrated their superiority over conventional ...
Ting Bai +6 more
semanticscholar +1 more source
Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Semantic change detection (SCD) refers to the task of simultaneously extracting changed areas and their semantic categories (before and after the changes) in remote sensing images (RSIs).
L. Ding +5 more
semanticscholar +1 more source
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
Remote Sensing, 2022 Images gathered from different satellites are vastly available these days due to the fast development of remote sensing (RS) technology. These images significantly enhance the data sources of change detection (CD).
Ayesha Shafique +4 more
semanticscholar +1 more source