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Abstract: Hyper spectral remote sensing has experienced various exploitation. Conventional methods are being prevailed by many advanced methods or approaches and also many new techniques are still being under research. An integrative review and comparison of HSI is being presented here to explore recent progress which are applied to HSI for classification, compression and detection. Actually a solid survey of various techniques used for HSI analysis is necessary for researches and practitioners for their evaluation purposes. HSI is the thrust area that enables one to distinctly identify the objects from space.
Keywords:
Hyper Spectral Image (HSI), classification, compression, anomaly or target detection
Cite Article:
"A Review On Hyper Spectral Imaging For Remote Sensing Applications", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 9, page no.23 - 33, August-2018, Available :http://www.ijrti.org/papers/IJRTI1809005.pdf
Downloads:
000205433
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator