Jeffries Matusita-Spectral Angle Mapper (JM-SAM) spectral matching for species level mapping at Bhitarkanika, Muthupet and Pichavaram mangroves

18 citations as recorded by crossref.

1. A stacked ensemble learning-based framework for mineral mapping using AVIRIS-NG hyperspectral image R. Giri et al. https://doi.org/10.1007/s12040-024-02317-z
2. A CBIR System for Hyperspectral Remote Sensing Images Using Endmember Extraction J. Zhang et al. https://doi.org/10.1142/S0218001417520012
3. Mapping hydrothermal alteration minerals using high-resolution AVIRIS-NG hyperspectral data in the Hutti-Maski gold deposit area, India C. Kumar et al. https://doi.org/10.1080/01431161.2019.1648906
4. Performance evaluation of hyperspectral classification algorithms on AVIRIS mineral data R. Adep et al. https://doi.org/10.1016/j.pisc.2016.06.070
5. Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest—Utilisation of AVIRIS-NG and Sentinel Data M. Behera et al. https://doi.org/10.3390/rs13112027
6. Mapping Sugarcane Weeds Using Spectral Signatures Derived from Spectroscopic Data and Multispectral Images M. Iglesias et al. https://doi.org/10.3390/agriengineering8050172
7. Remote sensing techniques: mapping and monitoring of mangrove ecosystem—a review K. Maurya et al. https://doi.org/10.1007/s40747-021-00457-z
8. A deep residual convolutional neural network for mineral classification N. Agrawal & H. Govil https://doi.org/10.1016/j.asr.2022.12.028
9. Enhancement of tropical degraded mangrove mapping using EO-1 satellite data: a case study of mangrove forest in Tamil Nadu, Southern India A. Selvaraj & S. Saravanan https://doi.org/10.1007/s00704-025-05557-1
10. Wildfire Detection Using Convolutional Neural Networks and PRISMA Hyperspectral Imagery: A Spatial-Spectral Analysis D. Spiller et al. https://doi.org/10.3390/rs15194855
11. Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data M. Dalponte et al. https://doi.org/10.7717/peerj.6227
12. Adaptive Window Based 3-D Feature Selection for Multispectral Image Classification Using Firefly Algorithm M. Rajakani et al. https://doi.org/10.32604/csse.2023.024994
13. Evaluation of Leaf Chlorophyll Content from Acousto-Optic Hyperspectral Data: A Multi-Crop Study A. Zolotukhina et al. https://doi.org/10.3390/rs16061073
14. Spectral dispersion matching technique for multi-class spatial-spectral feature detection of REE-fertile lithology in the Samalpatti alkaline–carbonatite complex (SACC) using Hyperion data P. Abishek et al. https://doi.org/10.1016/j.geogeo.2025.100488
15. Use of Hyperion for Mangrove Forest Carbon Stock Assessment in Bhitarkanika Forest Reserve: A Contribution Towards Blue Carbon Initiative A. Anand et al. https://doi.org/10.3390/rs12040597
16. New effective spectral matching measures for hyperspectral data analysis C. Kumar et al. https://doi.org/10.1080/01431161.2021.1890265
17. Extraction of chlorophyll concentration maps from AOTF hyperspectral imagery A. Zolotukhina et al. https://doi.org/10.3389/fenvs.2023.1152450
18. EXhype: A tool for mineral classification using hyperspectral data R. Adep et al. https://doi.org/10.1016/j.isprsjprs.2016.12.012