Change detection (CD) is essential in remote sensing (RS) for natural resource monitoring,
territorial planning, and disaster assessment. With the abundance of data collected by …

Change detection (CD) is one of the most important research areas in remote sensing. With
the fast development of imaging techniques, CD using cross-domain remote sensing images …

Remote sensing time series research and applications are advancing rapidly in land, ocean,
and atmosphere science, demonstrating emerging capabilities in space-based monitoring …

Remote sensing semantic segmentation is considered a key step in the intelligent
interpretation of high-resolution remote sensing (HRRS) images, with widespread …

Vision foundation models (VFMs) have rapidly gained application across various visual
scenarios due to their robust universality and generalization capabilities. However, when …

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 …

Foundation models have reshaped the landscape of Remote Sensing (RS) by enhancing
various image interpretation tasks. Pretraining is an active research topic, encompassing …

Recently, transformers have been widely explored in remote sensing image change
detection (RSICD) and achieved remarkable performance. However, most existing …

Change detection has become a crucial topic in the field of remote sensing deep learning
due to its extensive application in earth observation. However, real remote sensing images …

Change Detection (CD) in remote sensing involves identifying alterations in objects from a
pair of bi-temporal images, addressing diverse observation missions. Although existing …