@inproceedings {496,
	title = {Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery},
	booktitle = {26th International Symposium on Remote Sensing of Environment and 18th Annual Symposium of the Canadian Remote Sensing Society},
	year = {1996},
	address = {Vancouver, BC, Canada},
	abstract = {<p>Texture is an important aspect of identifying sea ice types in SAR imagery. The traditional grey level cooccurrence matrix has limitations that prevent its use for segmentation purposes. The Gabor filter, based on characteristics of the human visual system, is an alternative approach that can generate an improved texture feature set. Texture segmentation applied to a difficult image demonstrates the versatility and appropriateness of the Gabor approach when compared to the cooccurrence features.</p>
},
	author = {D A. Clausi}
}
