Abstract: Aiming at the YOLO (You Only Look Once) algorithm’s low detection accuracy caused by the complex background environment and large target scale difference in the detection of optical remote ...

Abstract: Spectral mixture analysis has been an important research topic in remote sensing applications, particularly for hyperspectral remote sensing data processing. On the basis of linear spectral ...

Generate single-band (grayscale), multispectral, or hyperspectral imagery; Simulate active sensing (e.g. LiDAR) and evolving RF / radar capabilities; Design and test imaging system architectures; ...

Figure 1. Demonstration of how our proposed algorithm finds changes in the multi-temporal remote sensing image (for beirut image pair in OSCD dataset).

Integrated spatial-contextual remote sensing classification via dual-path transformers and entropy-regularized HSIC Tallha Akram Faheem Ul Rehman Siddiqi Muqaddas Gull Amal Al‐Rasheed Muhammad Atif ...

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...

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In 2016, an airborne laser survey stripped away the dense jungle canopy of northern Guatemala and exposed more than 61,000 ...

Rivers are among the most important drinking water sources in the world but they remain difficult to monitor ...

Instead of relying on expensive satellites and aircraft, researchers from Ulm University and Friedrich-Alexander University Erlangen-Nuremberg (FAU) are turning to drones for Earth observation. For ...