Results 1 to 10 of about 21,460,949 (310)
DynaNet: A Dynamic Feature Extraction and Multi-Path Attention Fusion Network for Change Detection [PDF]
SensorsExisting change detection methods often struggle with both inadequate feature fusion and interference from background noise when processing bi-temporal remote sensing imagery.
Xue Li +3 more
doaj +2 more sources
Remote Sensing Image Change Detection With Transformers [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2021 Modern change detection (CD) has achieved remarkable success by the powerful discriminative ability of deep convolutions. However, high-resolution remote sensing CD remains challenging due to the complexity of objects in the scene.
Hao Chen, Zipeng Qi, Zhenwei Shi
semanticscholar +1 more source
A Transformer-Based Siamese Network for Change Detection [PDF]
IEEE International Geoscience and Remote Sensing Symposium, 2022 This paper presents a transformer-based Siamese network architecture (abbreviated by ChangeFormer) for Change Detection (CD) from a pair of co-registered remote sensing images.
W. G. C. Bandara, Vishal M. Patel
semanticscholar +1 more source
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review [PDF]
Remote Sensing, 2023 Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has broad applications in urban development, agricultural surveys, and land cover
Guangliang Cheng +6 more
semanticscholar +1 more source
Changer: Feature Interaction is What You Need for Change Detection [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Change detection is an important tool for long-term Earth observation missions. It takes bi-temporal images as input and predicts “where” the change has occurred.
Sheng Fang, Kaiyu Li, Zhe Li
semanticscholar +1 more source
Selecting change image for efficient change detection
IET Signal Processing, 2022 Change detection (CD) is a fundamental problem that aims at detecting changed objects from two observations. Previous CNN‐based CD methods detect changes through multi‐scale deep convolutional features extracted from two images.
Rui Huang +5 more
doaj +1 more source
Tactile Change Detection [PDF]
First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2005 Interest in the use of tactile information displays has grown rapidly in recent years. However, relatively little research has been conducted to explore any cognitive and/or attentional limitations that may be inherent when using the body as a receptor surface for the transmission of information.
Alberto Gallace +2 more
openaire +2 more sources
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2021 Semantic change detection (SCD) extends the multiclass change detection (MCD) task to provide not only the change locations but also the detailed land-cover/land-use (LCLU) categories before and after the observation intervals. This fine-grained semantic
L. Ding +5 more
semanticscholar +1 more source
Direction-dominated change vector analysis for forest change detection
International Journal of Applied Earth Observations and Geoinformation, 2021 As forest is under increasing pressure, the rapid conversion or degradation of forest has attracted strong concern. Obtaining quantitative information of forest change based on satellite imagery becomes necessary and urgent, especially the detailed “from-
Pengfeng Xiao +4 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Nonagriculturalization incidents are serious threats to local agricultural ecosystem and global food security. Remote sensing change detection (CD) can provide an effective approach for in-time detection and prevention of such incidents.
Mengxi Liu +3 more
semanticscholar +1 more source