Transformers for Remote Sensing: A Systematic Review and Analysis
R Wang, L Ma, G He, BA Johnson, Z Yan, M Chang… - Sensors, 2024 - mdpi.com
Research on transformers in remote sensing (RS), which started to increase after 2021, is
facing the problem of a relative lack of review. To understand the trends of transformers in …
facing the problem of a relative lack of review. To understand the trends of transformers in …
GlobalMind: Global multi-head interactive self-attention network for hyperspectral change detection
High spectral resolution imagery of the Earth's surface enables users to monitor changes
over time in fine-grained scale, playing an increasingly important role in agriculture …
over time in fine-grained scale, playing an increasingly important role in agriculture …
MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images
Semantic segmentation of remote sensing images plays a vital role in a wide range of Earth
Observation applications, such as land use land cover mapping, environment monitoring …
Observation applications, such as land use land cover mapping, environment monitoring …
Phileo bench: Evaluating geo-spatial foundation models
C Fibaek, L Camilleri, A Luyts… - IGARSS 2024-2024 …, 2024 - ieeexplore.ieee.org
Massive amounts of unlabelled data are captured by Earth Observation (EO) satellites, with
the Sentinel-2 constellation generating 1.6 TB of data daily. This makes Remote Sensing a …
the Sentinel-2 constellation generating 1.6 TB of data daily. This makes Remote Sensing a …
Incorporating object counts into remote sensing image captioning
Z Ni, Z Zong, P Ren - International Journal of Digital Earth, 2024 - Taylor & Francis
Existing methods for remote sensing image captioning tend to describe a remote sensing
image using generic language that lacks specific information about object counts. To …
image using generic language that lacks specific information about object counts. To …
PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery
Semantic segmentation, as a basic tool for intelligent interpretation of remote sensing
images, plays a vital role in many Earth Observation (EO) applications. Nowadays, accurate …
images, plays a vital role in many Earth Observation (EO) applications. Nowadays, accurate …
CAS-Net: Comparison-Based Attention Siamese Network for Change Detection with an Open High Resolution UAV Image Dataset
Change detection (CD) is a process of extracting changes on the Earth's surface from
bitemporal images. Current CD methods that use high-resolution remote sensing images …
bitemporal images. Current CD methods that use high-resolution remote sensing images …
Mapping land-cover dynamics in arid regions using spectral mixture analysis and representative training samples
Y Cui, C Zhao, X Qu, K Ma, Y Pan… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Timely and accurate land-cover surveys are essential for understanding the drivers of global
climate change and maintaining the carbon cycle. However, monitoring land-cover …
climate change and maintaining the carbon cycle. However, monitoring land-cover …
Parameter Precise Estimation Technology of Active Segment of Non-cooperative Targets Based on Long Short-Term Memory
H Xiao, C Zhu, Q Sheng, B Wang, J Li… - Space: Science & …, 2024 - spj.science.org
Traditional algorithms do not fully utilize the timing information of non-cooperative targets,
and setting too many motion parameters can lead to complex dynamic model calculations …
and setting too many motion parameters can lead to complex dynamic model calculations …
Cascaded Deep Learning Model for Accurate Land Use and Land Cover Classification
A Irfan, G Sun, Y Li, H Zhang - IGARSS 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Remote sensing technologies, such as aerial photography and satellite remote sensing,
play a crucial role in assessing and monitoring the changes in land use and land cover …
play a crucial role in assessing and monitoring the changes in land use and land cover …