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IBPRIA
2009
Springer
14 years 1 days ago
Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation
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...
Filiberto Pla, Gema Gracia, Pedro García-Se...
SSIAI
2000
IEEE
13 years 11 months ago
Content Based Retrieval for Remotely Sensed Imagery
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...
Badrinarayan Raghunathan, Scott T. Acton
ICMCS
2005
IEEE
152views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Texture-Based Remote-Sensing Image Segmentation
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...
Dihua Guo, Vijayalakshmi Atluri, Nabil R. Adam
ICIAP
2001
Springer
14 years 7 months ago
Wavelet-Based Texture Segmentation of Remotely Sensed Images
In this article a texturefeature extraction scheme based on M-band waveletpacketframes is investigated. Thefeatures so extracted are usedfor segmentation of satellite images which...
Mausumi Acharyya, Malay K. Kundu
ICML
2000
IEEE
13 years 11 months ago
Using Learning by Discovery to Segment Remotely Sensed Images
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...
Leen-Kiat Soh, Costas Tsatsoulis