FD-1665 used in NICTA study to classify materials in natural scenes using multispectral images

Researchers at the Australian National University made use of FluxData’s FD-1665 camera in a study intended to detect and discriminate different materials in natural scenes. The aims of the study included estimating changes in an environment, detecting objects defects, and vegetation management.

*fully labeled sample image from study


The publication authored by Sarah Taghavi Namin and Lars Petersson of the Australian National University can be found here.


Université de Bourgogne uses FluxData FD-1665 to create dataset for background subtraction in multispectral video

Using a FluxData FD-1665 7 band multispectral camera, researchers at the Université de Bourgogne sought to create a dataset of multispectral video sequences. This dataset was built to illustrate the advantages of a multispectral system with more than 3 bands for background subtraction.

Focusing on the area of video analytics, their paper explains background subtraction methods and the experiments used to build their video dataset. In order to capture the video sequences, they used the FD-1665 which is capable of acquiring 7 spectral bands consisting of 6 in the visible spectrum and one in the near-infrared.



The full paper, authored by Yannick Benezeth, Désiré Sidibé, and Jean Baptiste Thomas, can be found here.