Underwater Image and Video Processing to Detect Polymetallic Nodule Abundance Using Haar-Cascade and Template Matching Feature
Author:
Affiliation:
1. National Institute of Ocean Technology (NIOT),Chennai,Tamil Nadu,India,600 100
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9775197/9775124/09775258.pdf?arnumber=9775258
Reference11 articles.
1. Characteristics of Seafloor Morphology and Ferromanganese Nodule Occurrence in the Korea Deep-sea Environmental Study (KODES) Area, NE Equatorial Pacific
2. Manganese nodule morphology as indicators for oceanic processes in the Central Indian Basin
3. Quantitative estimation of seafloor features from photographs and their application to nodule mining
4. Polymetallic nodules abundance estimation using sidescan sonar: A quantitative approach using artificial neural network
5. An extended set of Haar-like features for rapid object detection
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1. Underwater Resource Detection Using Image Processing;2023 International Conference on Next Generation Electronics (NEleX);2023-12-14
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