NDLI: Image Processing Techniques for Remote Sensing Applications

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Image Processing Techniques for Remote Sensing Applications

Content Provider	Semantic Scholar
Author	Sinha, G. R. Thakur, Kavita
Copyright Year	2018
Abstract	The government of India has been launching many satellites for last few years intended for different purposes. The data sent by satellites are captured, processed and analyzed by National remote sensing centre (NRSC) located at various places. The satellite data is huge and carry enormous information. This information is related to land description, crop assessment, cultivation monitoring, weather forecasting, regional description, underwater analysis, sea water interpretation and so on. The images, particularly sent by satellites suffer with noise signals contributed by several factors such as atmospheric disturbance, addition of unwanted rays, radiometric noise, speckle etc. If the signal quality is not good then the analysis and subsequent applications would not have appropriate impact to the concerned areas of implementation. Therefore, image de-noising becomes essential technique for improving the image quality that could greatly help in further processing of the remotely sensed data. There are many other image processing techniques, which are required for better interpretation for getting useful information. This paper presents a set of image processing tools that could be used in remote sensing applications with basic principles. Keywords— Image processing, remote sensing, de-noising, segmentation, analysis etc.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://ijlaindia.org/wp-content/uploads/2015/07/Volume7/Issue3/257.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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