Image Fusion Datasets Overview

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What are the six spectrums included in the proposed constructed dataset?

Thermal, Long Wave Infrared (LWIR), Near Infrared (NIR), RGB, VIS, DHV (VIS, NIR, 0)

How many images and video frames are contained in the proposed constructed dataset?

145,660

What technique is used to increase the dataset size to 875,970?

Data augmentation

What is the purpose of data augmentation in this context?

To avoid over-fitting data

What is the main focus of the purified filtered dataset created?

Military and terrorism contexts

What is presented in Table 4.4?

Preprocessing and tuning data on each dataset

What are the three types of spectrums shown in the example of military objects?

Thermal, Near Infrared (NIR), RGB

What does the DHV spectrum stand for?

VIS, NIR, 0

What is the total number of images and video frames in multispectral images [104, 105, 106, 107, and 108]?

145,660

What is the significance of using the purified filtered scheme for the dataset?

To achieve a suitable dataset for specific contexts

Explore various image fusion datasets including multispectral, visual, near-infrared, and long-wave infrared images. The datasets feature gun objects, thermal images, LiDAR sensor-based images, and IR weapon images.

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