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IBPRIA
2009
Springer
13 years 11 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...
ICIP
2008
IEEE
14 years 9 months ago
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery
A richer set of land-cover classes are observable in satellite imagery than ever before due to the increased sub-meter resolution. Individual objects, such as cars and houses, are...
Yi Yang, Shawn Newsam
BIBE
2001
IEEE
179views Bioinformatics» more  BIBE 2001»
13 years 11 months ago
Texture-Based 3-D Brain Imaging
Different modalities in biomedical imaging, like CT, MRI and PET scanners, provide detailed crosssectional views of the human anatomy. The imagery obtained from these scanning dev...
Sagar Saladi, Pujita Pinnamaneni, Joerg Meyer
ICIP
1997
IEEE
14 years 9 months ago
Surrounding Region Dependence Method for Detection of Clustered Microcalcifications on Mammograms
Clustered microcalcifications on X-ray mammograms are an important feature in the detection of breast cancer. For the detection of the clustered microcalcifications on digitized m...
Jong-Kook Kim, Hyun Wook Park
IJCNN
2000
IEEE
14 years 6 days ago
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks
—This paper describes an approach to classification of noisy signals using a technique based on the fuzzy ARTMAP neural network (FAMNN). The proposed method is a modification of ...
Dimitrios Charalampidis, Michael Georgiopoulos, Ta...