INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
With the rise of hyperspectral imaging, data collection costs have decreased, but there's a growing need for accurate annotations. Many current hyperspectral image (HSI) classification methods are limited to single data cubes, leading to challenges in model generalization and handling different classes across datasets. Graph-based HSI classification shows promise but often faces computational issues due to large graph sizes and the need for spatial information. A recent study compared 11 HSI classification algorithms, with the TransHSI algorithm demonstrating superior accuracy and competitive performance
"High-Level Generic Driven Hyperspectral Image Classification using Knowledge Class-specific Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g365-g368, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404640.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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