%0 Book Section %1 Aroma_2020 %A Aroma, R. Jenice %A Raimond, Kumudha %A Razmjooy, Navid %A Estrela, Vania V. %A Hemanth, Jude %B Imaging and Sensing for Unmanned Aircraft Systems: Volume 2: Deployment and Applications %D 2020 %I Institution of Engineering and Technology %K GPS cloud_computing computer_vision cyber_physical_systems drones earth_observation hypespectral_imagimg image_analysis image_processing imported industry_4.0 internet_of_things mapping multispectral_imaging myown navigation photogrammetry remote_sensing spatial_analysis surveillance uav %P 133--155 %R 10.1049/pbce120g_ch7 %T Multispectral vs hyperspectral imaging for unmanned aerial vehicles: current and prospective state of affairs %U https://doi.org/10.1049%2Fpbce120g_ch7 %X Over the past few decades of imaging, these sensing instruments are now more advanced with multiple missions such as surveillance, monitoring, tracking and destruction of spatial objects. Nowadays, unmanned aerial vehicles (UAVs) are much prevalent, which could acquire a comprehensive view and could perform actions even to the lowest target levels at the ground. The UAV can be developed with minimal cost than other remote mission. Hence, it is much cost-effective. This chapter aims at detailing the critical aspects of two different variants of remotesensing (RS) technologies in UAVs: (a) multispectral imaging (MSI) and (b) hyperspectral imaging, which accounts for the spatial and spectral signatures of the observed underlying natural phenomena.

@incollection{Aroma_2020, abstract = {Over the past few decades of imaging, these sensing instruments are now more advanced with multiple missions such as surveillance, monitoring, tracking and destruction of spatial objects. Nowadays, unmanned aerial vehicles (UAVs) are much prevalent, which could acquire a comprehensive view and could perform actions even to the lowest target levels at the ground. The UAV can be developed with minimal cost than other remote mission. Hence, it is much cost-effective. This chapter aims at detailing the critical aspects of two different variants of remotesensing (RS) technologies in UAVs: (a) multispectral imaging (MSI) and (b) hyperspectral imaging, which accounts for the spatial and spectral signatures of the observed underlying natural phenomena.}, added-at = {2021-04-21T11:45:34.000+0200}, author = {Aroma, R. Jenice and Raimond, Kumudha and Razmjooy, Navid and Estrela, Vania V. and Hemanth, Jude}, biburl = {https://www.bibsonomy.org/bibtex/22bc329e245550ff5bf44c73a0ea6740b/vaniave}, booktitle = {Imaging and Sensing for Unmanned Aircraft Systems: Volume 2: Deployment and Applications}, doi = {10.1049/pbce120g_ch7}, interhash = {137ea33b23702552c17a3c5574f20365}, intrahash = {2bc329e245550ff5bf44c73a0ea6740b}, keywords = {GPS cloud_computing computer_vision cyber_physical_systems drones earth_observation hypespectral_imagimg image_analysis image_processing imported industry_4.0 internet_of_things mapping multispectral_imaging myown navigation photogrammetry remote_sensing spatial_analysis surveillance uav}, language = {English}, month = apr, pages = {133--155}, publisher = {Institution of Engineering and Technology}, timestamp = {2021-05-16T21:36:26.000+0200}, title = {Multispectral vs hyperspectral imaging for unmanned aerial vehicles: current and prospective state of affairs}, type = {Publication}, url = {https://doi.org/10.1049%2Fpbce120g_ch7}, year = 2020 }