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نمایش تعداد 1-6 از 6

Improved Edge Enhancing Diffusion Filter for Speckle-Corrupted Images

نوع: Journal Paper

نویسنده : Fabbrini, Luca; Greco, Maria; Messina, Marco; Pinelli, Gianpaolo

ناشر: IEEE

سال: 2014

Blind Speckle Decorrelation for SAR Image Despeckling

نوع: Journal Paper

نویسنده : Lapini, A.; Bianchi, Tiziano; Argenti, Fabrizio; Alparone, Luciano

ناشر: IEEE

سال: 2014

Multiple-Scale Salient-Region Detection of SAR Image Based on Gamma Distribution and Local Intensity Variation

نوع: Journal Paper

نویسنده : Qiang Zhang; Yan Wu; Wei Zhao; Fan Wang; Jianwei Fan; Ming Li

ناشر: IEEE

سال: 2014

Subspace-Based Technique for Speckle Noise Reduction in SAR Images

نوع: Journal Paper

نویسنده : Yahya, Norzariyah; Kamel, Nidal S.; Malik, A.S.

ناشر: IEEE

سال: 2014

A Union Matching Method for SAR Images Based on SIFT and Edge Strength

نوع: Journal Paper

نویسنده : Tianze Chen; Limin Chen

ناشر: IEEE

سال: 2014

Synthetic aperture radar image segmentation using fuzzy label field-based triplet Markov fields model

نوع: Journal Paper

نویسنده : Fan Wang; Yan Wu; Jianwei Fan; Xue Zhang; Qiang Zhang; Ming Li

ناشر: IET

سال: 2014

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Improved Edge Enhancing Diffusion Filter for Speckle-Corrupted Images

Blind Speckle Decorrelation for SAR Image Despeckling

Multiple-Scale Salient-Region Detection of SAR Image Based on Gamma Distribution and Local Intensity Variation

Subspace-Based Technique for Speckle Noise Reduction in SAR Images

A Union Matching Method for SAR Images Based on SIFT and Edge Strength

Synthetic aperture radar image segmentation using fuzzy label field-based triplet Markov fields model

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Improved Edge Enhancing Diffusion Filter for Speckle-Corrupted Images

Blind Speckle Decorrelation for SAR Image Despeckling

Multiple-Scale Salient-Region Detection of SAR Image Based on Gamma Distribution and Local Intensity Variation

Subspace-Based Technique for Speckle Noise Reduction in SAR Images

A Union Matching Method for SAR Images Based on SIFT and Edge Strength

Synthetic aperture radar image segmentation using fuzzy label field-based triplet Markov fields model