Abstract: Most contemporary supervised remote sensing (RS) image change detection (CD) approaches are customized for equal-resolution bitemporal images. Real-world applications raise the need for ...

The launch of the government's consultation on out-of-school settings follows findings from the Independent Inquiry into Child Sexual Abuse (IICSA) and a Department for Education pilot programme - ...

09:26, Wed, Sep 3, 2025 Updated: 10:27, Wed, Sep 3, 2025 There's less than a week to go until we finally see what's coming next from Apple. The US technology giant has confirmed that it's holding a ...

Blood cancers are the fifth most common cancer type in the UK, impacting hundreds of thousands of people, and are the third biggest cause of cancer deaths. Unlike solid tumours, blood cancers cannot ...

Notifications You must be signed in to change notification settings In this letter, a novel wavelet-inspired sparse learning network (WISLNet) is proposed for hyperspectral image change detection (HSI ...

This article is brought to you by our exclusive subscriber partnership with our sister title USA Today, and has been written by our American colleagues. It does not necessarily reflect the view of The ...

Mr. Musk said he wanted xAI’s chatbot to be “politically neutral.” His actions say otherwise. By Stuart A. Thompson Teresa Mondría Terol Kate Conger and Dylan Freedman Reporters queried Grok and other ...

Oscar Piastri and Lando Norris are first and second in the F1 drivers' championship The company that owns the McLaren Formula 1 team has been valued at about £3.5bn - more than a sixfold increase ...

This repository is the code implementation of the paper RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model, which is based on the Open-cd ...

Images are a powerful way for people to share information about climate change. Maps, memes, and dramatic photographs often quickly spread online, paired with alarming claims about rising sea levels ...

Abstract: Change detection using deep learning methods in optical remote sensing imageries has become the mainstream method, primarily due to their strong spatial-temporal transferability. However, ...