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- W3043508718 abstract "A novel image fusion method in multiwavelet domain is proposed in this paper. The special frequency band and property of image in multiwavelet domain are employed for the image fusion algorithm. Due to the widespread use of digital media applications, multimedia refuge and the fusing has grown incredible important. Here in this research work, a low resolution multispectral and high resolution RGB image fused here is he new method to fuse that is proposed, to find out the armed person behind deep forest with surrounding trees. The picture is acquired from a wing which is new unmanned aerial vehicle (UAV) at 90 to 100 m distance in dark light surroundings. The combined effect of the texture resolution by a heavy decree RGB image and the thermal image taken by Dual Sensor Night Vision Goggle (DSNVG), to retrieve a fused IR RGB-thermal good image of the armed person. Inside this research work, The DSNVG is in construction to offer fusion of thermal imagery, to afford the profit of larger positional alertness due to developed risk discovery underneath nearly all battlefield outsides, like-minded with established bludgeon structure ranges, prolonged performance potential from high-light circumstances to sum dusk and through battlefield obstacles, increasing ability for municipal work. Here, Multiwavelet transform is being compared with wavelet packet for aerial vehicle fusion. In this work concludes that multiwavelet performs better than wavelet packet." @default.
- W3043508718 created "2020-07-23" @default.
- W3043508718 creator A5010245921 @default.
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- W3043508718 date "2020-01-01" @default.
- W3043508718 modified "2023-09-26" @default.
- W3043508718 title "Multiwavelet Based Unmanned Aerial Vehicle Thermal Image Fusion for Surveillance and Target Location" @default.
- W3043508718 cites W1536587585 @default.
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- W3043508718 doi "https://doi.org/10.1007/978-981-15-6634-9_32" @default.
- W3043508718 hasPublicationYear "2020" @default.
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