Key Differences Between Multispectral and Hyperspectral Imaging This guide elucidates the fundamental technical differences between multispectral and hyperspectral imaging. Multispectral imaging captures 3 to 15 discrete spectral bands, ideal for rapid tasks like vegetation monitoring; conversely, hyperspectral imaging acquires hundreds of continuous, narrow bands to create precise "spectral fingerprints" for material identification. We analyze the tradeoffs between data cube complexity, system cost, and spatial resolution, while exploring their respective strengths in precision medicine, remote sensing, and food safety. By understanding these dispersive imaging technologies, engineers can select the optimal optical sensing solution based on specific analytical requirements and data precision needs.