Fuzzy Shuffled Frog Leaping Optimization-based enhanced ConvLSTM for Land Use/ Land Cover Prediction.
- Published in:
- Earth Science Informatics, 2025, v. 18, n. 2, p. 1, doi. 10.1007/s12145-024-01686-9
- By:
- Publication type:
- Article
Works by Manoharan, Prabukumar
Results: 17
1
2
Fuzzy Swin transformer for Land Use/ Land Cover change detection using LISS-III Satellite data.
- Published in:
- Earth Science Informatics, 2024, v. 17, n. 2, p. 1745, doi. 10.1007/s12145-023-01208-z
- By:
- Publication type:
- Article
3
Band selection strategies for hyperspectral image classification based on machine learning and artificial intelligent techniques –Survey.
- Published in:
- Arabian Journal of Geosciences, 2021, v. 14, n. 7, p. 1, doi. 10.1007/s12517-021-06984-w
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- Publication type:
- Article
4
Wavelet enabled ranking and clustering-based band selection and three-dimensional spatial feature extraction for hyperspectral remote sensing image classification.
- Published in:
- Journal of Applied Remote Sensing, 2021, v. 15, n. 4, p. 44506, doi. 10.1117/1.JRS.15.044506
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- Publication type:
- Article
5
Hyperspectral image classification using fuzzy-embedded hyperbolic sigmoid nonlinear principal component and weighted least squares approach.
- Published in:
- Journal of Applied Remote Sensing, 2020, v. 14, n. 2, p. 24501, doi. 10.1117/1.JRS.14.024501
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- Publication type:
- Article
6
Band clustering using expectation–maximization algorithm and weighted average fusion-based feature extraction for hyperspectral image classification.
- Published in:
- Journal of Applied Remote Sensing, 2018, v. 12, n. 4, p. 046015-1, doi. 10.1117/1.JRS.12.046015
- By:
- Publication type:
- Article
7
Three-dimensional discrete cosine transform-based feature extraction for hyperspectral image classification.
- Published in:
- Journal of Applied Remote Sensing, 2018, v. 12, n. 4, p. 046010-1, doi. 10.1117/1.JRS.12.046010
- By:
- Publication type:
- Article
8
Multi-objective multi-verse optimizer based unsupervised band selection for hyperspectral image classification.
- Published in:
- International Journal of Remote Sensing, 2022, v. 43, n. 11, p. 3990, doi. 10.1080/01431161.2022.2105666
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- Publication type:
- Article
9
Whale optimization-based band selection technique for hyperspectral image classification.
- Published in:
- International Journal of Remote Sensing, 2021, v. 42, n. 13, p. 5105, doi. 10.1080/01431161.2021.1906979
- By:
- Publication type:
- Article
10
Unsupervised band selection based on weighted information entropy and 3D discrete cosine transform for hyperspectral image classification.
- Published in:
- International Journal of Remote Sensing, 2020, v. 41, n. 10, p. 3948, doi. 10.1080/01431161.2019.1711242
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- Publication type:
- Article
11
New framework for hyperspectral band selection using modified wind-driven optimization algorithm.
- Published in:
- International Journal of Remote Sensing, 2019, v. 40, n. 20, p. 7852, doi. 10.1080/01431161.2019.1607609
- By:
- Publication type:
- Article
12
A hybrid optimization approach for hyperspectral band selection based on wind driven optimization and modified cuckoo search optimization.
- Published in:
- Multimedia Tools & Applications, 2021, v. 80, n. 2, p. 1725, doi. 10.1007/s11042-020-09705-9
- By:
- Publication type:
- Article
13
Survey on Land Use/Land Cover (LU/LC) change analysis in remote sensing and GIS environment: Techniques and Challenges.
- Published in:
- 2020
- By:
- Publication type:
- Literature Review
14
Hyperspectral remote sensing image classification using combinatorial optimisation based un‐supervised band selection and CNN.
- Published in:
- IET Image Processing (Wiley-Blackwell), 2020, v. 14, n. 15, p. 3909, doi. 10.1049/iet-ipr.2020.0728
- By:
- Publication type:
- Article
15
Hyperspectral remote sensing image classification using combinatorial optimisation based un-supervised band selection and CNN.
- Published in:
- IET Image Processing (Wiley-Blackwell), 2020, v. 14, n. 15, p. 3909, doi. 10.1049/iet-ipr.2020.0728
- By:
- Publication type:
- Article
16
A new band selection framework for hyperspectral remote sensing image classification.
- Published in:
- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-83118-8
- By:
- Publication type:
- Article
17
Crop Classification for Agricultural Applications in Hyperspectral Remote Sensing Images.
- Published in:
- Applied Sciences (2076-3417), 2022, v. 12, n. 3, p. 1670, doi. 10.3390/app12031670
- By:
- Publication type:
- Article