Publication2019
Fast active learning for hyperspectral image classification using extreme learning machine
The record
- Type
- Publication
- Date
- 28 March 2019
- Level
- National
- Journal
- Iet Image Processing
- Volume
- 13
- Issue
- 4
- Pages
- 549-555
- Published
- 28 March 2019
- DOI
- 10.1049/iet-ipr.2018.5104
- Scopus ID
- 85064818316
- ISSN
- 17519659
- Authors
- 3
- Open access
- No
- Citations
- 11
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Active learning approach for hyperspectral image classification using extreme learning machine reducing computational time by 1000x.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.1 Research and development
Research methodology innovation in efficient machine learning for remote sensing applications.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Fast active learning for hyperspectral image classification using extreme learning machine”. Kortex.