The application of digital watermarking to remote sensing images requires a careful quality assessment in order to understand how the data quality is affected by the water-mark. We propose a watermarking approach that minimizes the watermark impact on image classification, based on the idea of modulating the insertion coefficient in each channel so as to preserve to a larger extent the channels which classification is most sensitive to; we also propose a simplified procedure for estimating cluster displacement due to watermarking, leading to a low-complexity insertion approach. Experimental results on Landsat 7 ETM+ and IKONOS images show that the proposed MIC approach is able to significantly reduce classification errors, and to keep them within the intrinsic classification error.
Minimum-impact-on-classifier (MIC) watermarking for protection of remote sensing imagery / Magli, Enrico; R., Troia; M., Barni. - (2004), pp. 4436-4439. (Intervento presentato al convegno IGARSS 2004 - IEEE International Symposium on Geoscience and Remote Sensing) [10.1109/IGARSS.2004.1370134].
Minimum-impact-on-classifier (MIC) watermarking for protection of remote sensing imagery
MAGLI, ENRICO;
2004
Abstract
The application of digital watermarking to remote sensing images requires a careful quality assessment in order to understand how the data quality is affected by the water-mark. We propose a watermarking approach that minimizes the watermark impact on image classification, based on the idea of modulating the insertion coefficient in each channel so as to preserve to a larger extent the channels which classification is most sensitive to; we also propose a simplified procedure for estimating cluster displacement due to watermarking, leading to a low-complexity insertion approach. Experimental results on Landsat 7 ETM+ and IKONOS images show that the proposed MIC approach is able to significantly reduce classification errors, and to keep them within the intrinsic classification error.Pubblicazioni consigliate
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https://hdl.handle.net/11583/1413857
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