Change detection based on remote sensing (RS) data is an important method of detecting
changes on the Earth's surface and has a wide range of applications in urban planning …

Change detection is an essential and widely utilized task in remote sensing that aims to
detect and analyze changes occurring in the same geographical area over time, which has …

Deep learning for change detection is one of the current hot topics in the field of remote
sensing. However, most end-to-end networks are proposed for supervised change …

Change detection is of great significance to Earth observations. Recently, with the
emergence of deep learning (DL), the power and feasibility of deep convolutional neural …

Joint classification using multisource remote sensing data for Earth observation is promising
but challenging. Due to the gap of imaging mechanism and imbalanced information …

Change detection on multimodal remote sensing images has become an increasingly
interesting and challenging topic in the remote sensing community, which can play an …

Remote sensing image change detection (RSICD) is a technique that explores the change
of surface coverage in a certain time series by studying the difference between multiple …

Unsupervised multimodal change detection is a practical and challenging topic that can play
an important role in time-sensitive emergency applications. To address the challenge that …

Synthetic aperture radar (SAR) imaging is used to identify ships, which is a vital task in the
maritime industry for managing maritime fisheries, marine transit, and rescue operations …

Change detection from synthetic aperture radar (SAR) imagery is a critical yet challenging
task. Existing methods mainly focus on feature extraction in the spatial domain, and little …