The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Hyperspectral Image Classification Using Batch-Based Graph Attentional Networks in Agriculture
|
|
Author(s): Ramakrishna Kolikipogu (Department of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, India), Murali Dhar (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), N. Raghava Rao (Institute of Aeronautical Engineering, Dundigal, India)and Nidhya M. S. (Jain University, India)
Copyright: 2024
Pages: 13
Source title:
Agriculture and Aquaculture Applications of Biosensors and Bioelectronics
Source Author(s)/Editor(s): Alex Khang (Global Research Institute of Technology and Engineering, USA)
DOI: 10.4018/979-8-3693-2069-3.ch024
Purchase
|
Abstract
The classification of hyperspectral images plays a critical role in the maintenance of remote image analysis, which has attracted a lot of research interest. Despite the fact that numerous methodologies, including unsupervised and supervised methods, have been presented, achieving an acceptable classification result remains a challenging task. Deep learning-based hyperspectral image (HSI) classification is gaining popularity, because of its efficient classification capabilities. When compared to traditional convolutional neural networks, graph-based deep learning provides the benefits of exhibiting class boundaries and modelling feature relationships. In hyperspectral image (HSI) classification, the most important problem is how to transform hyperspectral data into irregular domains from regular grids. This study describes a method for image classification that employs graph neural network (GNN) models. The input images are converted into region adjacency graphs (RAGs), where regions are super pixels and edges link nearby super pixels.
Related Content
|
Pankaj Bhambri, Alex Khang.
© 2024.
17 pages.
|
|
Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, Vishal Eswaran.
© 2024.
27 pages.
|
|
Punam Rattan, Geeta Sharma, Pavitar Prakash Singh.
© 2024.
24 pages.
|
|
J. Avanija, C. Rajyalakshmi, K. Reddy Madhavi, B. Narendra Kumar Rao.
© 2024.
14 pages.
|
|
Sajida Mustafa, Rehan Mehmood Sabir, Abid Sarwar, Muhammad Safdar, Mohammed Saleh Al Ansari, Saddam Hussain.
© 2024.
26 pages.
|
|
Muhammad Fawaz Saleem, Ali Raza, Rehan Mehmood Sabir, Muhammad Safdar, Muhammad Faheem, Mohammed Saleh Al Ansari, Saddam Hussain.
© 2024.
29 pages.
|
|
Kashif Ali, Zuhaib Nishtar, Rehan Mehmood Sabir, Muhammad Safdar.
© 2024.
20 pages.
|
|
|