Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...
Hosted on MSN
Astronomy has a major data problem – simulating realistic images of the sky can help train algorithms
This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Professional astronomers don’t make discoveries by ...
Just two months after its launch, the European Space Agency (ESA) Biomass satellite is already showing us Earth in a whole new light. On June 23 the ESA released the mission’s first images, which ...
Background: Neovascular glaucoma (NVG) is one of the most severe complications of proliferative diabetic retinopathy (PDR), carrying a high risk of blindness. Establishing an effective risk prediction ...
On June 23, 2025, ESA shared the first images from its Biomass satellite, nicknamed “Space Brolly.” The satellite uses advanced P-band radar to see beneath forest canopies and track carbon storage.
Gnarled, wild and majestic: these two very different trees in California form part of Mitch Epstein’s quest to photograph ancient forests across the US. The photographer’s Old Growth project took ...
In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat 8 remote ...
@IvanNardi As per our initial discussion: Is your feature request related to a problem? Please describe. Detecting malware and covert communications within encrypted traffic, especially when ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback