Daniela Deiana - Academia.edu (original) (raw)

Related Authors

Nicolas Coltice

Armando Marques-Guedes

Paul E. Olsen

Gabriel Gutierrez-Alonso

Adriano Ribolini

Suman Paul

Eileen G Ernenwein

sabina porfido

Florence ReSeT

Università degli Studi di Firenze (University of Florence)

Uploads

Papers by Daniela Deiana

Research paper thumbnail of A texture analysis of 3D radar images

ABSTRACT In this paper a texture feature coding method to be applied to high-resolution 3D radar ... more ABSTRACT In this paper a texture feature coding method to be applied to high-resolution 3D radar images in order to improve target detection is developed. An automatic method for image segmentation based on texture features is proposed. The method has been able to automatically detect weak targets which failed to be detected with intensity based segmentation.

Research paper thumbnail of Detection and classification of landmines using AR modeling of GPR data

In this paper we present some results on detection and classification of low metal content anti p... more In this paper we present some results on detection and classification of low metal content anti personnel (AP) landmines using a modified version of the Auto Regressive (AR) modeling algorithm presented in. A statistical distance is computed between the AR coefficients of the measured GPR time signal and the AR coefficients of a reference database (containing the AR models of the mines of interest) and a detection is declared if this distance is below a given threshold.

Research paper thumbnail of Multipath exploitation in an urban environment using a MIMO surveillance radar

Surveillance in an urban environment under all atmospheric conditions and situations can be perfo... more Surveillance in an urban environment under all atmospheric conditions and situations can be performed by means of radars. The multipath created by buildings and moving targets can be exploited, for example in order to increase SNR. In this paper we present the initial results of the measurements of a moving target in a roadblock scenario in non line of sight (NLOS). The results suggest that MIMO systems are suitable for urban environment surveillance.

Research paper thumbnail of A texture analysis of 3D radar images

ABSTRACT In this paper a texture feature coding method to be applied to high-resolution 3D radar ... more ABSTRACT In this paper a texture feature coding method to be applied to high-resolution 3D radar images in order to improve target detection is developed. An automatic method for image segmentation based on texture features is proposed. The method has been able to automatically detect weak targets which failed to be detected with intensity based segmentation.

Research paper thumbnail of Detection and classification of landmines using AR modeling of GPR data

In this paper we present some results on detection and classification of low metal content anti p... more In this paper we present some results on detection and classification of low metal content anti personnel (AP) landmines using a modified version of the Auto Regressive (AR) modeling algorithm presented in. A statistical distance is computed between the AR coefficients of the measured GPR time signal and the AR coefficients of a reference database (containing the AR models of the mines of interest) and a detection is declared if this distance is below a given threshold.

Research paper thumbnail of Multipath exploitation in an urban environment using a MIMO surveillance radar

Surveillance in an urban environment under all atmospheric conditions and situations can be perfo... more Surveillance in an urban environment under all atmospheric conditions and situations can be performed by means of radars. The multipath created by buildings and moving targets can be exploited, for example in order to increase SNR. In this paper we present the initial results of the measurements of a moving target in a roadblock scenario in non line of sight (NLOS). The results suggest that MIMO systems are suitable for urban environment surveillance.

Log In