Semantic segmentation plays a crucial role in interpreting remote sensing images, especially in high-resolution scenarios where finer object details, complex spatial information and texture structures ...

This Research Topic addresses critical limitations in conventional remote sensing for monitoring terrestrial ecosystems ...

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

Throughout the last century, Southern California drove technologies developed to detect the undetectable from afar - from radar systems that can predict incoming enemies to lasers that can capture the ...

Integrating various tools in targeting mineral deposits increases the chance of adequate detection and characterization of mineralization zones. Selecting a convenient dataset is a key for a precise ...

The sun is very far away and extremely hot. In order to study the sun we need specialized equipment that looks at it using different wavelengths. Using different wavelengths provides us with a variety ...

Remote Sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance, typically from a satellite or aircraft ...