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 …
Skysense: A multi-modal remote sensing foundation model towards universal interpretation for earth observation imagery
Abstract Prior studies on Remote Sensing Foundation Model (RSFM) reveal immense
potential towards a generic model for Earth Observation. Nevertheless these works primarily …
potential towards a generic model for Earth Observation. Nevertheless these works primarily …
Change-aware sampling and contrastive learning for satellite images
Automatic remote sensing tools can help inform many large-scale challenges such as
disaster management, climate change, etc. While a vast amount of spatio-temporal satellite …
disaster management, climate change, etc. While a vast amount of spatio-temporal satellite …
Openearthmap: A benchmark dataset for global high-resolution land cover mapping
We introduce OpenEarthMap, a benchmark dataset, for global high-resolution land cover
mapping. OpenEarthMap consists of 2.2 million segments of 5000 aerial and satellite …
mapping. OpenEarthMap consists of 2.2 million segments of 5000 aerial and satellite …
Changen2: Multi-temporal remote sensing generative change foundation model
Our understanding of the temporal dynamics of the Earth's surface has been significantly
advanced by deep vision models, which often require a massive amount of labeled multi …
advanced by deep vision models, which often require a massive amount of labeled multi …
Advances and challenges in deep learning-based change detection for remote sensing images: A review through various learning paradigms
Change detection (CD) in remote sensing (RS) imagery is a pivotal method for detecting
changes in the Earth's surface, finding wide applications in urban planning, disaster …
changes in the Earth's surface, finding wide applications in urban planning, disaster …
Revisiting consistency regularization for semi-supervised change detection in remote sensing images
WGC Bandara, VM Patel - arXiv preprint arXiv:2204.08454, 2022 - arxiv.org
Remote-sensing (RS) Change Detection (CD) aims to detect" changes of interest" from co-
registered bi-temporal images. The performance of existing deep supervised CD methods is …
registered bi-temporal images. The performance of existing deep supervised CD methods is …
Scalable multi-temporal remote sensing change data generation via simulating stochastic change process
Understanding the temporal dynamics of Earth's surface is a mission of multi-temporal
remote sensing image analysis, significantly promoted by deep vision models with its fuel …
remote sensing image analysis, significantly promoted by deep vision models with its fuel …
EarthNets: Empowering artificial intelligence for Earth observation
Earth observation (EO), aiming at monitoring the state of planet Earth using remote sensing
data, is critical for improving our daily lives and living environment. With a growing number …
data, is critical for improving our daily lives and living environment. With a growing number …
UCDFormer: Unsupervised change detection using a transformer-driven image translation
Change detection (CD) by comparing two bitemporal images is a crucial task in remote
sensing. With the advantages of requiring no cumbersome labeled change information …
sensing. With the advantages of requiring no cumbersome labeled change information …