1. QUALITY ASSESSMENT OF DESPECKLED SAR IMAGES Department of Biophysical and Electronic Engineering (DIBE)- Università di Genova- ITALY Elena Angiati, Silvana Dellepiane
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11. Qualitative analysis Filtered images with different filters: (a) Lee, (b) Frost, (c) Enhanced Lee, (d) Enhanced Frost, (e) SRAD with parameters 8-0,5, (f) SRAD with parameters 200-0.01 Corresponding frequency domain of different filters: (g) Lee, (h) Frost, (i) Enhanced Lee, (l) Enhanced Frost, (m) SRAD with parameters 8-0,5, (n) SRAD with parameters 200-0.01 (a) (b) (c) (d) (e) (f) (g) (h) (i) (l) (m) (n) Original image
12. Experimental results: Statistical analysis (1) Mean Preservation Index for Spotlight images. “Water” and “No-Water” class. Each value is averaged over test samples Speckle Suppression Index for Spotlight and Stripmap images.
13. Experimental results: Statistical analysis (2) Mean Preservation Speckle Suppression Index (MPSSI) for Spotlight images. “Water” and “No-Water” classes. Speckle Suppression and Mean Preservation Index (SSMPI) for Spotlight images. “Water” class
14. Experimental results: Frequency analysis (1) Static Power Gain SRAD filter is the best in mean preservation, as also proved by the MPI index. This property is equally verified for “Water” and “No Water” classes Static Power Gain for Spotlight images. “Water” and “No-Water” classes
15. Experimental results: Frequency analysis (2) (a) ETF(0,k y ) for “Water” class; (b) ETF(0,k y ) for “No-Water” class; (c) ETF(k x ,0) for “Water” class; (d) ETF(k x ,0) for “No-Water” class. ETF analysis along different directions for Spotlight images (T1, T2, T3) (a) (b) (d) (c)
16. Experimental results: Frequency analysis (3) (a) ETF(0,k y ) for “Water” class; (b) ETF(0,k y ) for “No-Water” class; (c) ETF(k x ,0) for “Water” class; (d) ETF(k x ,0) for “No-Water” class. ETF analysis along different directions for Stripmap images (T4, T5) (a) (b) (d) (c)
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18. Thank you for your attention! Department of Biophysical and Electronic Engineering (DIBE)- Università di Genova- ITALY Elena Angiati, Silvana Dellepiane
Editor's Notes
Good morning, my name is Elena Angiati and this paper is about identification of roofs perimeter from aerial and satellite images
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