Abstract
This paper focus on the visible (VIS) and near-infrared (NIR) range of electromagnetic (EM) spectrum, the available EM energy is very high, but in thermal infrared (TIR) range the EME is very low. This results in poor or coarse spatial resolution and lower amount of detail in TIR images. Artificial Neural Networks (ANN) approach is adopted to utilize the best properties, to improve the coarse spatial resolution (120 m) of Landsat Thematic Mapper (TM) TIR data utilizing the advantages of fine resolution (30 m) VIS and NIR data. The working of this model is based on the 3 VIS and NIR band data, Raw TIR data is used as the input. This in turn improves the result in substantial improvement of spatial resolution at the end of the model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
