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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2021

Multi-stack hybrid CNN with non-monotonic activation functions for hyperspectral satellite image classification

The record

Type
Publication
Date
1 November 2021
Level
National
Journal
Neural Computing and Applications
Volume
33
Issue
21
Pages
14809-14822
Published
1 November 2021
DOI
10.1007/s00521-021-06120-5
Scopus ID
85107501104
ISSN
09410643
Authors
1
Open access
No
Citations
20
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Hybrid 3D-2D CNN architecture with non-monotonic activation functions represents significant advancement in deep learning for land-cover classification.

    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
  2. 15 Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss

    GoalSecondaryHigh confidenceJudged

    Hyperspectral satellite image classification enables land use monitoring essential for ecosystem assessment and terrestrial biodiversity management.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Deep learning innovation for satellite data processing demonstrates AI capacity for environmental monitoring and land-cover assessment.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Multi-stack hybrid CNN with non-monotonic activation functions for hyperspectral satellite image classification”. Kortex.

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