[HTML][HTML] Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challenges
Change detection (CD) aims to compare and analyze images of identical geographic areas
but different dates, whereby revealing spatio-temporal change patterns of Earth's surface …
but different dates, whereby revealing spatio-temporal change patterns of Earth's surface …
Remote Sensing Temporal Vision-Language Models: A Comprehensive Survey
Temporal image analysis in remote sensing has traditionally centered on change detection,
which identifies regions of change between images captured at different times. However …
which identifies regions of change between images captured at different times. However …
Ccexpert: Advancing mllm capability in remote sensing change captioning with difference-aware integration and a foundational dataset
Z Wang, M Wang, S Xu, Y Li, B Zhang - arxiv preprint arxiv:2411.11360, 2024 - arxiv.org
Remote Sensing Image Change Captioning (RSICC) aims to generate natural language
descriptions of surface changes between multi-temporal remote sensing images, detailing …
descriptions of surface changes between multi-temporal remote sensing images, detailing …
Mv-cc: Mask enhanced video model for remote sensing change caption
Remote sensing image change caption (RSICC) aims to provide natural language
descriptions for bi-temporal remote sensing images. Since Change Caption (CC) task …
descriptions for bi-temporal remote sensing images. Since Change Caption (CC) task …
Semantic-cd: Remote sensing image semantic change detection towards open-vocabulary setting
Remote sensing image semantic change detection is a method used to analyze remote
sensing images, aiming to identify areas of change as well as categorize these changes …
sensing images, aiming to identify areas of change as well as categorize these changes …
Change Captioning in Remote Sensing: Evolution to SAT-Cap--A Single-Stage Transformer Approach
Change captioning has become essential for accurately describing changes in multi-
temporal remote sensing data, providing an intuitive way to monitor Earth's dynamics …
temporal remote sensing data, providing an intuitive way to monitor Earth's dynamics …
When Remote Sensing Meets Foundation Model: A Survey and Beyond.
C Huo, K Chen, S Zhang, Z Wang, H Yan… - remote …, 2025 - search.ebscohost.com
Most deep-learning-based vision tasks rely heavily on crowd-labeled data, and a deep
neural network (DNN) is usually impacted by the laborious and time-consuming labeling …
neural network (DNN) is usually impacted by the laborious and time-consuming labeling …
Robust Change Captioning in Remote Sensing: SECOND-CC Dataset and MModalCC Framework
Remote sensing change captioning (RSICC) aims to describe changes between bitemporal
images in natural language. Existing methods often fail under challenges like illumination …
images in natural language. Existing methods often fail under challenges like illumination …
[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …
enhanced spatial and temporal coverage for monitoring biomass burning which could …