Statistical framework for butterfly species recognition using raw spatio-hyperspectral images
- 4 July 2025
- journal article
- research article
- Published by Springer Nature in Pattern Analysis and Applications
- Vol. 28 (3) , 1-26
Abstract
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This publication has 40 references indexed in Scilit:
- Morphology and spectral sensitivity of long visual fibers and lamina monopolar cells in the butterfly Papilio xuthusJournal of Comparative Neurology, 2024
- Benchmarking of Novel Convolutional Neural Network Models for Automatic Butterfly Identification2023
- Butterfly Detection and Classification Based on Integrated YOLO Algorithm2020
- Automatic Identification of Butterfly Species Based on Gray-Level Co-occurrence Matrix Features of Image BlockJournal of Shanghai Jiaotong University (Science), 2018
- Butterfly Species Recognition Using Artificial Neural Network2018
- Butterfly species identification by branch length similarity entropyJournal of Asia-Pacific Entomology, 2012
- The identification of butterfly families using content-based image retrievalBiosystems Engineering, 2012
- Spectral reflectance properties of iridescent pierid butterfly wingsJournal of Comparative Physiology A, 2011
- Principles of Hyperspectral Imaging Technology2010
- Combined invariants to blur and rotation using Zernike moment descriptorsPattern Analysis and Applications, 2009