Fully convolutional change detection framework with generative adversarial network for unsupervised, weakly supervised and regional supervised change detection
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 …
sensing. However, most end-to-end networks are proposed for supervised change …
A new end-to-end multi-dimensional CNN framework for land cover/land use change detection in multi-source remote sensing datasets
ST Seydi, M Hasanlou, M Amani - Remote Sensing, 2020 - mdpi.com
The diversity of change detection (CD) methods and the limitations in generalizing these
techniques using different types of remote sensing datasets over various study areas have …
techniques using different types of remote sensing datasets over various study areas have …
Optimizing near real-time detection of deforestation on tropical rainforests using sentinel-1 data
J Doblas, Y Shimabukuro, S Sant'Anna, A Carneiro… - Remote Sensing, 2020 - mdpi.com
Early Warning Systems (EWS) for near real-time detection of deforestation are a
fundamental component of public policies focusing on the reduction in forest biomass loss …
fundamental component of public policies focusing on the reduction in forest biomass loss …
Scene change detection by differential aggregation network and class probability-based fusion strategy
H Fang, S Guo, P Zhang, W Zhang… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Scene change detection identifies functional changes at the scene level. Compared with
pixel-level and object-level change detection, it can provide a higher level understanding of …
pixel-level and object-level change detection, it can provide a higher level understanding of …
Transfer-Aware Graph U-Net with Cross-Level Interactions for PolSAR Image Semantic Segmentation
S Ren, F Zhou, L Bruzzone - Remote Sensing, 2024 - mdpi.com
Although graph convolutional networks have found application in polarimetric synthetic
aperture radar (PolSAR) image classification tasks, the available approaches cannot …
aperture radar (PolSAR) image classification tasks, the available approaches cannot …
Consensus techniques for unsupervised binary change detection using multi-scale segmentation detectors for land cover vegetation images
Change detection in very-high-spatial-resolution (VHR) remote sensing images is a very
challenging area with applicability in many problems ranging from damage assessment to …
challenging area with applicability in many problems ranging from damage assessment to …
Change detection using multispectral satellite images: a systematic review of literature
CP Vasantrao, N Gupta, AK Mishra… - Bulletin of Electrical …, 2024 - beei.org
Change detection (CD) provides information about the changes on earth's surface over a
period of time. Many algorithms have been proposed over the years for effective CD of …
period of time. Many algorithms have been proposed over the years for effective CD of …
Similarity Learning for Land Use Scene-Level Change Detection
Scene-level change detection (SLCD) can provide semantic change information at image
level, thus it is of great significance for monitoring land use changes. Supervised SLCD …
level, thus it is of great significance for monitoring land use changes. Supervised SLCD …
[HTML][HTML] On Unsupervised Multiclass Change Detection Using Dual-Polarimetric SAR Data
M Kim, SJ Lee, SE Park - Remote Sensing, 2024 - mdpi.com
Change detection using SAR data has been an active topic in various applications. Because
conventional change detection identifies signal changes in single-pol radar observations …
conventional change detection identifies signal changes in single-pol radar observations …
A novel unsupervised multiple change detection method for VHR remote sensing imagery using CNN with hierarchical sampling
H Fang, P Du, X Wang - International Journal of Remote Sensing, 2022 - Taylor & Francis
Detecting multiple changes from remote sensing imagery is a research hotspot. Very high
resolution (VHR) images contain detailed spatial information and thus are often used in …
resolution (VHR) images contain detailed spatial information and thus are often used in …