PCA-based feature reduction for hyperspectral remote sensing image classification
The hyperspectral remote sensing images (HSIs) are acquired to encompass the essential
information of land objects through contiguous narrow spectral wavelength bands. The …
information of land objects through contiguous narrow spectral wavelength bands. The …
Mutual information-driven feature reduction for hyperspectral image classification
A hyperspectral image (HSI), which contains a number of contiguous and narrow spectral
wavelength bands, is a valuable source of data for ground cover examinations …
wavelength bands, is a valuable source of data for ground cover examinations …
Improving hyperspectral image classification through spectral-spatial feature reduction with a hybrid approach and deep learning
ABSTRACT The Hyperspectral Image (HSI) is a great source of information for observing the
earth's elements due to its numerous narrow and continuous spectral wavelength bands …
earth's elements due to its numerous narrow and continuous spectral wavelength bands …
Hyperspectral image classification via information theoretic dimension reduction
Hyperspectral images (HSIs) are one of the most successfully used tools for precisely and
potentially detecting key ground surfaces, vegetation, and minerals. HSIs contain a large …
potentially detecting key ground surfaces, vegetation, and minerals. HSIs contain a large …
Spectral segmentation based dimension reduction for hyperspectral image classification
Hyperspectral images (HSI) contain a wide range of information, the most prominent
technology for observing the earth. However, using an original HSI high-dimensional …
technology for observing the earth. However, using an original HSI high-dimensional …
Feature reduction of hyperspectral image for classification
Informative feature extraction from hyperspectral image (HSI) is the primary and most
challenging task in the hyperspectral data processing. The rich source of HSI information …
challenging task in the hyperspectral data processing. The rich source of HSI information …
Analysis of PCA based feature extraction methods for classification of hyperspectral image
Hyperspectral Image (HSI) is a rich source of information for the analysis of the earth's
surface. HSI produces a rich set of both spectral and spatial information for possible …
surface. HSI produces a rich set of both spectral and spatial information for possible …
Cross-Modal Reconstruction for Tactile Signal in Human–Robot Interaction
M Chen, Y Xie - Sensors, 2022 - mdpi.com
A human can infer the magnitude of interaction force solely based on visual information
because of prior knowledge in human–robot interaction (HRI). A method of reconstructing …
because of prior knowledge in human–robot interaction (HRI). A method of reconstructing …
Spectral–spatial dimensionality reduction for hyperspectral image classification
MR Islam, B Ahmed - 2022 25th International Conference on …, 2022 - ieeexplore.ieee.org
The hyperspectral image (HSI) is a great source of information for observing the Earth's
elements due to its numerous narrow and continuous spectral bands. There are also …
elements due to its numerous narrow and continuous spectral bands. There are also …
Feature Subspace Detection for Hyperspectral Images Classification using Segmented Principal Component Analysis and F-score
UAME Ali, MA Hossain - 2020 IEEE Region 10 Symposium …, 2020 - ieeexplore.ieee.org
Remotely sensed images provide unseen characteristics of the earth's surface as they are
composed of hundreds of spectral bands of the electromagnetic spectrum. Both spatial and …
composed of hundreds of spectral bands of the electromagnetic spectrum. Both spatial and …