Proceedings of 13th International Conference on Digital Signal Processing
DOI: 10.1109/icdsp.1997.628531
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Fast and efficient land-cover classification of multispectral remote sensing data using artificial neural network techniques

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Cited by 2 publications
(5 citation statements)
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“…Lineaments usually reflect linear structural features in the rocks or artificial features like roads or buildings. Lineament extraction is usually carried out by using digital data of satellite either manually [23][24] or automatically [25][26]. The automatic lineament extraction technique is applied in this work to interpret and extract the structural lineaments from the digital SPOT-5 data of the study area.…”
Section: Methodsmentioning
confidence: 99%
“…Lineaments usually reflect linear structural features in the rocks or artificial features like roads or buildings. Lineament extraction is usually carried out by using digital data of satellite either manually [23][24] or automatically [25][26]. The automatic lineament extraction technique is applied in this work to interpret and extract the structural lineaments from the digital SPOT-5 data of the study area.…”
Section: Methodsmentioning
confidence: 99%
“…Majumdar and Bhattacharya (1998) reported that Haar transform is proper in extraction of subtle features with finer details from satellite data. Vassilas et al (2002), however, reported that Hough transform is appropriate for fault feature mapping. Consequently, Laplacian, Sobel, and Canny are the major algorithms for lineament feature detections in remotely sensed data (Mostafa and Bishta 2005;Semere and Ghebreab, 2006;Marghany 2005).Recently Marghany and Mazlan (2010) proposed a new approach for automatic detection of lineament features from RADARSAT-1 SAR data.…”
Section: Satellite Remote Sensing and Image Processing For Lineament mentioning
confidence: 99%
“…Image processing tools have used for lineament feature detections are: (i) image enhancement techniques (Mah et al 1995;Chang et al 1998;Walsh 2000;Marghany et al, 2009b); and (ii) edge detection and segmentation (Wang et al 1990;Vassilas et al 2002;Mostafa and Bishta 2005). In practice, researchers have preferred to use the spatial domain filtering techniques in order to get ride of the artificial lineaments and to verify disjoint lineament pixels in satellite data (Süzen and Toprak 1998).…”
Section: Satellite Remote Sensing and Image Processing For Lineament mentioning
confidence: 99%
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