Change detection methods for remote sensing in the last decade: A comprehensive review
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 …
detect and analyze changes occurring in the same geographical area over time, which has …
An empirical study of remote sensing pretraining
Deep learning has largely reshaped remote sensing (RS) research for aerial image
understanding and made a great success. Nevertheless, most of the existing deep models …
understanding and made a great success. Nevertheless, most of the existing deep models …
Changer: Feature interaction is what you need for change detection
S Fang, K Li, Z Li - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
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. Different from other …
temporal images as input and predicts “where” the change has occurred. Different from other …
Lightweight remote sensing change detection with progressive feature aggregation and supervised attention
Remote sensing change detection (RSCD) aims to explore surface changes from co-
registered pair of images. However, the high cost of memory and computation in previous …
registered pair of images. However, the high cost of memory and computation in previous …
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban …
With the acceleration of urban expansion, urban change detection (UCD), as a significant
and effective approach, can provide the change information with respect to geospatial …
and effective approach, can provide the change information with respect to geospatial …
Transition is a process: Pair-to-video change detection networks for very high resolution remote sensing images
As an important yet challenging task in Earth observation, change detection (CD) is
undergoing a technological revolution, given the broadening application of deep learning …
undergoing a technological revolution, given the broadening application of deep learning …
Exchange means change: An unsupervised single-temporal change detection framework based on intra-and inter-image patch exchange
Change detection is a critical task in studying the dynamics of ecosystems and human
activities using multi-temporal remote sensing images. While deep learning has shown …
activities using multi-temporal remote sensing images. While deep learning has shown …
AERNet: An attention-guided edge refinement network and a dataset for remote sensing building change detection
Advancements in Earth observation technology enable the detection of surface changes in
intricate urban environments. Building change detection (BCD) plays a crucial role in urban …
intricate urban environments. Building change detection (BCD) plays a crucial role in urban …
Isdnet: Integrating shallow and deep networks for efficient ultra-high resolution segmentation
The huge burden of computation and memory are two obstacles in ultra-high resolution
image segmentation. To tackle these issues, most of the previous works follow the global …
image segmentation. To tackle these issues, most of the previous works follow the global …
[HTML][HTML] MTCNet: Multitask consistency network with single temporal supervision for semi-supervised building change detection
Q Shu, J Pan, Z Zhang, M Wang - … Journal of Applied Earth Observation and …, 2022 - Elsevier
Building change detection is crucial for urban development. Over the past few years, deep
learning based change detection researches have achieved impressive progress. However …
learning based change detection researches have achieved impressive progress. However …