As these new sources of multispectral data become more common, the need for high performance multispectral compression methods will increase. In this chapter, we have described some of the …

How does multispectral imagery work? Vegetation reflects and absorbs different wavelengths of light based on their health.

2 days ago · To address this gap, we introduce the first large-scale dataset for Multispectral Ob-ject Detection in Aerial images (MODA), which comprises 14,041 MSIs and 330,191 annotations across …

We introduce Beyond RGB1, a real-world dataset comprising thousands of multispectral and RGB images in diverse real world and lab conditions that is suitable for the development and evaluation of …

Adding additional laser wavelength channels to a lidar, creating a multi-spectral lidar, enables active spectroscopy of permanently shaded regions of the moon, i.e. craters near the lunar south pole, …

Multispectral imaging has been used for numerous applications in e.g., environmental monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical network-based...

In this paper, we present an efficient and robust approach for recovering spectral re-flectance in a scene that combines the advantages of using multiple spectral sources and a multispectral camera.