Enhancing exploration-exploitation in harmony search for airborne hyperspectral imaging band selection (E3HS)
MA Moharram, DM SUNDARAM - Turkish Journal of Electrical …, 2023 - journals.tubitak.gov.tr
Hyperspectral imaging has emerged as a prominent area of research in the field of remote
sensing science. However, hyperspectral images (HSIs) pose a notable challenge due to …
sensing science. However, hyperspectral images (HSIs) pose a notable challenge due to …
A Deep Learning Framework for Hyperspectral Image Classification using PCA and Spectral LSTM Networks
S Dash, S Chakravarty, S Vadhri… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
Deep learning techniques, like Convolutional Neural Networks (CNNs) and Long Short-
Term Memory (LSTM) networks, have demonstrated remarkable performance in …
Term Memory (LSTM) networks, have demonstrated remarkable performance in …
An Adaptive Streaming Feature Selection Technique for Classifying Non-Stationary Data Streams
In today's digital era, various real-world applications generate data in streams, and these
data streams are of two types stationary data streams, which are static, and non-stationary …
data streams are of two types stationary data streams, which are static, and non-stationary …
Comparing Time Series Nearest Neighbors and Artificial Neural Networks for Hyper Spectral Image Analysis
D Mehta, V Singh, N Sharma - 2024 International Conference …, 2024 - ieeexplore.ieee.org
the use of synthetic Neural Networks (ANNs) and Time series Nearest neighbors (TSNNs)
for the analysis of hyperspectral imagery (HSI) is a subject of increasing hobby within the far …
for the analysis of hyperspectral imagery (HSI) is a subject of increasing hobby within the far …