May 13, 2013 · In this paper, we propose a new framework for the objective (quantitative) assessment of SAR despeckling techniques, based on simulation of SAR ...
scholar.google.com › citations
Oct 22, 2024 · The fundamental principle is to decompose the vector space of the noisy image into signal-plus-noise subspace and the noise subspace. Noise ...
May 6, 2021 · In this article, we propose a novel benchmarking framework for a quantitative assessment of the performance of despeckling algorithms for ...
Abstract—In this article, we propose a novel benchmarking framework for a quantitative assessment of the performance of despeckling algorithms for ...
Dec 9, 2024 · In this article, we propose a novel benchmarking framework for a quantitative assessment of the performance of despeckling algorithms for ...
Feb 22, 2021 · In this work we present a novel benchmarking framework for assessing the quality of despeckled multitemporal SAR images on an objective basis.
Verdoliva, “Benchmarking Framework for SAR. Despeckling,” IEEE Trans. Geosci. Remote Sens., vol. 52, no. 3, pp. 1596-1615, March 2014. DOI: 10.1109/TGRS ...
Verdoliva,. “Benchmarking framework for sar despeckling,” IEEE Transactions on. Geoscience and Remote Sensing, vol. 52, no. 3, pp. 1596–1615, 2014. [32] I ...
Then, an interactive dual-branch framework is utilized to learn the details and structural information of SAR images, effectively reducing speckles by fully ...
We present here the first results of an ongoing work aimed at selecting a suitable combination of benchmark measures to assess competing SAR despeckling ...