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DC Field | Value | Language |
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dc.contributor.author | Waghmare, Pradnyesh Ramesh | - |
dc.date.accessioned | 2014-11-29T05:29:41Z | - |
dc.date.available | 2014-11-29T05:29:41Z | - |
dc.date.issued | 2006 | - |
dc.identifier | M.Tech | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/12046 | - |
dc.guide | Singh, Dharmendra | - |
dc.guide | Mathur, B. S. | - |
dc.description.abstract | Jharia is one of the main coal field regions of India where the coal fire burning is the major problem. The present dissertation tries to attempt to detect and monitor cloud and coal fire regions of Jharia by using various image processing technique and application of thresholding cloud detection algorithm with operational Satellite Data (i.e. AVHRR). A Thresholding and Multithresholding algorithm based on Digital Image Processing is developed which is capable to detect cloudy pixels in cloud the hot/fire spots of the study area. The observed suspected regions were highlighted and gave quite good agreement with the results obtained by other researchers. The patterns of different cloud of last 10 years has been observed which provides information of cloudy pixels and tells about any change in or near the cloudy pixels in cloud. The Thresholding technique is applied to reduce the false area location of cloudy surface. Various computer codes (i.e. Calibration,Thresholding, Multi-Threshold, Segmentation, etc) for satellite image processing have been developed. Finally, the study will be-quite helpful to develop automated cloudy pixels and hotspot detection software of study areas for AVHRR data. | en_US |
dc.language.iso | en | en_US |
dc.subject | HYDROLOGY | en_US |
dc.subject | HYDROLOGY | en_US |
dc.subject | HYDROLOGY | en_US |
dc.subject | HYDROLOGY | en_US |
dc.title | CLOUD DETECTION IN SATELLITE IMAGERY (AVHRR) | en_US |
dc.type | M.Tech Dessertation | en_US |
dc.accession.number | G12825 | en_US |
Appears in Collections: | MASTERS' THESES (Hydrology) |
Files in This Item:
File | Description | Size | Format | |
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HYDG12825.pdf | 3.49 MB | Adobe PDF | View/Open |
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