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 …
[HTML][HTML] Brain tumor detection in MR image using superpixels, principal component analysis and template based K-means clustering algorithm
In the present era, human brain tumor is the extremist dangerous and devil to the human
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …
Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification
Hyperspectral image (HSI) usually holds information of land cover classes as a set of many
contiguous narrow spectral wavelength bands. For its efficient thematic mapping or …
contiguous narrow spectral wavelength bands. For its efficient thematic mapping or …
Three-dimensional softmax mechanism guided bidirectional GRU networks for hyperspectral remote sensing image classification
Hyperspectral data is a valuable source of both spectral and spatial information. However, to
enhance the classification accuracy of hyperspectral image features, it is crucial to capture …
enhance the classification accuracy of hyperspectral image features, it is crucial to capture …
Real-time defect inspection of green coffee beans using NIR snapshot hyperspectral imaging
SY Chen, MF Chiu, XW Zou - Computers and Electronics in Agriculture, 2022 - Elsevier
Coffee beans are important agricultural commodities traded in the international market.
Screening for defective beans is an important step before roasting. The main types of …
Screening for defective beans is an important step before roasting. The main types of …
Rapid and nondestructive detection of sorghum adulteration using optimization algorithms and hyperspectral imaging
Z Bai, X Hu, J Tian, P Chen, H Luo, D Huang - Food chemistry, 2020 - Elsevier
This paper proposes a sorghum adulteration detection model using hyperspectral imaging
technology (HSI), image processing technology, and multivariate analysis technology. The …
technology (HSI), image processing technology, and multivariate analysis technology. The …
Quantitative estimation of soil properties using hybrid features and RNN variants
Estimating soil properties is important for maximizing the production of crops in sustainable
agriculture. The hyperspectral data next input depends upon the previous one, and the …
agriculture. The hyperspectral data next input depends upon the previous one, and the …
Evaluation of aboveground nitrogen content of winter wheat using digital imagery of unmanned aerial vehicles
Nitrogen (N) content is an important basis for the precise management of wheat fields. The
application of unmanned aerial vehicles (UAVs) in agriculture provides an easier and faster …
application of unmanned aerial vehicles (UAVs) in agriculture provides an easier and faster …
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 …
NDVI based change detection in Sundarban Mangrove Forest using remote sensing data
As a global ecosystem, Sundarban mangrove forest plays a significant role by tackling
enormous CO 2, and other environmental impurities from air and water. It also protects …
enormous CO 2, and other environmental impurities from air and water. It also protects …