This study is conducted in accordance with a systematic literature review (SLR) protocol.
SLR is tasked with finding publications, publishers, deep learning types, enhanced and …

Agricultural management at field-scale is critical for improving yield to address global food
security, as providing enough food for the world's growing population has become a wicked …

Hyperspectral imaging is a technique that provides rich chemical or compositional
information not regularly available to traditional imaging modalities such as intensity …

Hyperspectral remote sensing images (HRSI) are 3D image cubes that contain hundreds of
spectral bands and have two spatial dimensions and one spectral dimension. HRSI analysis …

In recent years, with the development of deep learning (DL), the hyperspectral image (HSI)
classification methods based on DL have shown superior performance. Although these DL …

The high dimensionality of hyperspectral remote sensing images (HRSI) affects the
classification performance. Therefore, most HRSI classification methods use dimension …

Classification in hyperspectral remote sensing images (HRSIs) is a challenging process in
image analysis and one of the most popular topics. In recent years, many methods have …

Maize tassels play a critical role in plant growth and yield. Extensive RGB images obtained
using unmanned aerial vehicle (UAV) and the prevalence of deep learning provide a …

As hyperspectral imagery (HSI) contains rich spectral and spatial information, a novel
principal component analysis (PCA) and segmented-PCA (SPCA)-based multiscale 2-D …

Hyperspectral remote sensing image (HRSI) analysis are commonly used in a wide variety
of remote sensing applications such as land cover analysis, military surveillance, object …