36 search results - page 1 / 8 » Using Learning by Discovery to Segment Remotely Sensed Image... |
ICML
2000
IEEE
13 years 9 months ago
2000
IEEE
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...
CORIA
2010
12 years 11 months ago
2010
Knowledge discovery from satellite images in spatio-temporal context remains one of the major challenges in the remote sensing field. It is, always, difficult for a user to manuall...
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
Typically, high-resolution remote sensing (HRRS) images contain a high level noise as well as possess different texture scales. As a result, existing image segmentation approaches...
SSIAI
2000
IEEE
13 years 9 months ago
2000
IEEE
We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of gabor filters is use...
IBPRIA
2009
Springer
13 years 9 months ago
2009
Springer
A multi-spectral texture characterisation model is proposed, the Multi-spectral Local Differences Texem – MLDT, as an affordable approach to be used in multi-spectral images that...