Abstract: This paper addresses the problems of low accuracy and poor adaptability to complex scenes in traditional remote sensing object classification methods, and proposes a remote sensing object ...

Abstract: In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between ...

In his statement, Krishnamoorthi claimed — without evidence — that Chinese lidar products pose a threat to U.S. national ...

In the rapidly evolving landscape of satellite technologies, a novel concept known as space computing power networks (Space-CPN) is emerging as a ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

A research team has developed a method for improving crop growth monitoring by accurately estimating the fraction of absorbed ...

THE use of very high resolution (VHR) satellite imagery and remote sensing for monitoring farm-to-market roads (FMRs) has been found to be “accessible, efficient, and cost-effective,“ according to two ...

With 15 students, TRMS had three different teams compete at the state event with one team placing first out of 50 teams and ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.

Off the New England coast, critically endangered whales are feeding on invisible swarms of red plankton—now suddenly visible from hundreds of miles above.

The collaboration is intended to evaluate the potential application of Lunasonde's technology as a complementary exploration and targeting tool across Gunnison's land position, which hosts multiple ...