Abstract: In this paper, in the first part we discuss the approaches to performing reflective compensation for hyperspectral sensors. In the second part, we discuss the image fusion performance. These range from empirical techniques that rely to varying degrees to the radiative transfer theory developed. The radiative transfer solutions are made computationally efficient with simplifications and approximations. Approximations in case of model based approaches are based on adjacency effect assuming surface is Lambertian. Empirical methods they do not use model based approaches but they are developed and linked with radiative transfer formalism. In the paper we describe the results of hyperspectral fusion techniques also we conduct hyperspectral mapping for types of crop and soil analysis.

Keywords: Hyperspectral, Soil, Crop, fusion.

| DOI: 10.17148/IARJSET.2021.88113