We propose an inversion model for retrieving the root-zone soil moisture profile using P-band radar observations and validate it data collected during Airborne Microwave Observatory of Subcanopy Subsurface (AirMOSS) mission. The forward utilized in this article uses existing small perturbation method (SPM) to calculate electromagnetic wave scattered from multilayered rough surface dielectric structures. To solve inverse problem, which is formulated as a least-squares we utilize novel global...

In this paper, we introduce a global optimization method that is novel combination of the simulated annealing and multidirectional search algorithm. We demonstrate use algorithm for microwave imaging system to obtain electrical properties objects. The proposed optimizer significantly improves performance speed by utilizing nonlinear simplex search, starting from an initial guess, taking effective steps in obtaining solution minimization problem. Due efficient method, are able shape,...

We present a general framework for detecting the shape and electrical properties of unknown objects by using Newton minimization approach solving inverse-scattering problems. This procedure is performed evolving an initial-guess object iteratively until cost function decreases to desired value. Rapid convergence this method demonstrated some numerical results.

A general framework for the shape reconstruction of conducting objects is presented with Newton minimization approach. Using a fully numerical method, initial-guess object evolved to reconstruct target. The modeled by triangles such that vertices are unknowns inverse-scattering problem. cost function minimized as evolving converges actual target in merely tens iterations.

In this paper, we present a microwave imaging system based on the simulated annealing algorithm and multi-directional search to reconstruct electrical properties of dielectric regions. The method has been applied as global optimization for inverse-scattering problem utilized enhance performance system. Powerful technique in accurately reconstructing two-dimensional images regions is demonstrated by numerical results.

We introduce a novel global optimization technique for solving the inverse-scattering problem in electromagnetic imaging of dielectric objects. The presented optimizer combines simulated annealing method with multi-directional search algorithm to obtain candidate solutions that make towards desired solution significantly more effective. have demonstrated strength inverse-scatting problems by some numerical results, and showed convergence experiments standard may fail provide an appropriate solution.

In this work, we present a framework to detect the shape of unknown perfect electric conducting objects by using inverse scattering and microwave imaging. The initial-guess object, which evolves achieve target, is modeled triangles such that vertices are unknowns our problem.

The use of signals-of-opportunity (SoOp) is becoming one the mainstream methods for retrieving geophysical properties environmental studies and operational applications. pervasive nature SoOp transmitters that rest observational hardware system consists principally a receiver, make this measurement approach quite attractive from perspective cost practicality. Examples include global navigation satellite (GNSS) at L-band Mobile User Objective System (MUOS) P-band. NASA has recently invested...

In this paper, we present an inversion scheme to retrieve subsurface properties of layered dielectric structures with random slightly rough interfaces. We use the small perturbation method in forward model. To solve inverse-scattering problem, utilize a novel global optimization technique, which takes advantage speed local while ensuring convergence minimum. More specifically, by modifying simulated annealing using non-linear simplex search algorithm, enhance performance choosing effective...

Over the past years applications of signals-of-opportunity (SoOP) for monitoring local and global environmental parameters have been widely investigated. In particular, recent studies shown that Global Navigation Satellite System Reflectometry (GNSS-R) can be utilized soil moisture retrieval. This paper proposes a method retrieving surface-to-root-zone profiles (RZSM) from Cyclone (CYGNSS) over-land observations, which are in form delay-Doppler maps (DDMs) [1] .