The LA Distribution: An Approximation of the G0A Distribution for Amplitude SAR Image Modeling

Sagrillo, Murilo; Guerra, Renata Rojas; Bayer, Fábio M.; Machado, Renato

doi:10.1109/tgrs.2023.3262480

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Other1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Inflated Rayleigh Regression Model for High Dynamic Magnitude SAR Image Modeling

Palm,

Bayer,

Javadi

et al. 2024

IEEE Geosci. Remote Sensing Lett.

View full text Add to dashboard Cite

Inflated Rayleigh Regression Model for High Dynamic Magnitude SAR Image Modeling

Palm,

Bayer,

Javadi

et al. 2024

IEEE Geosci. Remote Sensing Lett.

View full text Add to dashboard Cite

A fast 2D-AR(1) filtering for bitemporal change detection on UWB SAR images

Costa,

Sander,

Söderquist

et al. 2024

Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX

View full text Add to dashboard Cite

This article presents an elementary change detection algorithm designed using a synchronous model of computation (MoC) aiming at efficient implementations on parallel architectures. The change detection method is based on a 2D-first-order autoregressive ([2D-AR(1)]) recursion that predicts one-lag changes over bitemporal signals, followed by a high-parallelized spatial filtering for neighborhood training, and an estimated quantile function to detect anomalies. The proposed method uses a model-based on the functional language paradigm and a welldefined MoC, potentially enabling energy and runtime optimizations with deterministic data parallelism over multicore, GPU, or FPGA architectures. Experimental results over the bitemporal CARABAS-II SAR UWB dataset are evaluated using the synchronous MoC implementation, achieving gains in detection and hardware performance compared to a closed-form and well-known complexity model over the generalized likelihood ratio test (GLRT). In addition, since the one-lag AR(1) is a Markov process, its extension for a Markov chain in multitemporal (n-lags) analysis is applicable, potentially improving the detection performance still subject to high-parallelized structures.

show abstract

The L_A Distribution: An Approximation of the G⁰_A Distribution for Amplitude SAR Image Modeling

Cited by 2 publications

References 34 publications

Inflated Rayleigh Regression Model for High Dynamic Magnitude SAR Image Modeling

Inflated Rayleigh Regression Model for High Dynamic Magnitude SAR Image Modeling

A fast 2D-AR(1) filtering for bitemporal change detection on UWB SAR images

Contact Info

Product

Resources

About