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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …