Multimodal Remote Sensing Image Registration Methods and Advancements: A Survey

With rapid advancements in remote sensing image registration algorithms, comprehensive imaging applications are no longer limited to single-modal remote sensing images. Instead, multi-modal remote sensing (MMRS) image registration has become a research focus in recent years. However, considering multi-source, multi-temporal, and multi-spectrum input introduces significant nonlinear radiation differences in MMRS images for which researchers need to develop novel solutions. At present, comprehensive reviews and analyses of MMRS image registration methods are inadequate in related fields. Thus, this paper introduces three theoretical frameworks: namely, area-based, feature-based and deep learning-based methods. We present a brief review of traditional methods and focus on more advanced methods for MMRS image registration proposed in recent years. Our review or comprehensive analysis is intended to provide researchers in related fields with advanced understanding to achieve further breakthroughs and innovations.

Analysis of modified Fourier law and melting heat transfer in a flow involving carbon nanotubes

The dynamics of non-Newtonian liquids flow along with suspension of nanoparticles are pretty exciting with many industrial applications. In view of this, we examined Darcy-Forchheimer two-dimensional carbon nanotubes flow in light of a melting surface with warm nonlinear radiation, Cattaneo-Christov heat flux and slip condition. Similarity transformations are utilized to deal with the problem equations for non-dimensionality. Runge-Kutta-Felberg-45 method by adopting shooting scheme is applied for the simulation of the demonstrated equations. The thermal framework is investigated for all the implanted parameters whose impacts are appeared through various graphs. There exist fascinating outcomes because of the impacts of various constraints on various profiles. Results reveals that, velocity and corresponding thickness of the boundary layer declines for rising values of Forchheimer parameter and porosity parameter. Moreover, rate of declination of velocity gradient in MWCNT-water stream is slower than SWCNT-water stream. Also, inclined values of melting parameter display a diminishing pattern for the temperature field. Further, rate of declination in heat transfer of SWCNT-water stream is faster than MWCNT-water stream.