The ability of thermal sensors to penetrate smoke, mist, dust and aerosol makes them
attractive for deployment in essential applications in military, medical, agricultural and …

Due to the lack of thermal image datasets, a new dataset has been acquired for proposed a
super-resolution approach using a Deep Convolution Neural Network schema. In order to …

Abstract Thermal Image Super-Resolution (TISR) is a technique for converting Low-
Resolution (LR) thermal images to High-Resolution (HR) thermal images. This technique …

The aim of this paper is to improve the resolution of low-quality thermal images obtained
from downsampled images afflicted with noise and blur alongside high-resolution visible …

This paper proposes a novel approach to estimate the Normalized Difference Vegetation
Index (NDVI) just from an RGB image. The NDVI values are obtained by using images from …

Infrared thermal imaging presents significant potential in various domains. However, the
widespread development of this technology is hindered by the high cost associated with …

The prime limitation of optical sensors is the need for external sources of illumination while
capturing the scene. This prevents them from recognizing objects in extreme conditions …

This paper presents a novel unsupervised approach to estimate the Normalized Difference
Vegetation Index (NDVI). The NDVI is obtained as the ratio between information from the …

This chapter proposes a novel approach to estimate the Normalized Difference Vegetation
Index (NDVI) using an unsupervised generative adversarial network architecture. This …