Top 10 Commonly Confused Words in Satellite Imaging

Top 10 Commonly Confused Words in Satellite Imaging 1. Resolution vs. Accuracy One of the most common confusions in satellite imaging is between resolution and accuracy. While resolution refers to the level of detail that can be captured by a satellite, accuracy refers to how close the captured data is to the actual ground truth. So, a satellite can have high resolution but low accuracy, and vice versa. It's important to differentiate between these two terms to avoid any misinterpretation of the data. 2. Spectral vs. Spatial Resolution Another pair of terms that often cause confusion are spectral and spatial resolution. Spectral resolution refers to the ability of a sensor to distinguish between different wavelengths of light, while spatial resolution refers to the size of the smallest object that can be detected by the sensor. So, while spectral resolution is about the 'what' in the image, spatial resolution is about the 'where'. 3. Multispectral vs. Hyperspectral Multispectral and hyperspectral are two terms that are frequently interchanged. Multispectral imaging involves capturing data in a few distinct bands, usually in the visible and near-infrared range. On the other hand, hyperspectral imaging captures data in hundreds of narrow and contiguous bands, covering a wider range of the electromagnetic spectrum. The key difference here is the level of spectral detail captured. 4. Radiance vs. Reflectance