9 天前 - … In addition, five hyperspectral datasets with different … with different spatial resolutions,
spectral resolutions, and SNRs … scene complexity, target size, and classification purpose. …

12 天前 - … diversity and complexity of … classification model. Based on an existing phylogeny
of the trees in our dataset, we tested for phylogenetic signal across the 29 hyperspectral bands …

12 天前 - … are used for hyperspectral classification due to their ability to identify complex nonlinear
… The high spectral resolution data used in this study contain richer information that helps …

19 天前 - … Since an urban environment has complex characteristics … images with 32 spectral
bands and a resolution of 2 meters, … In the proposed method, two classification algorithms of …

47 天前 - … our understanding of these complex habitats, minimizing the … of the point cloud
classification process increased … high resolution in both the spatial and spectral dimensions…

48 天前 - … , high redundancy, and numerous spectral bands exhibiting significant correlation.
To … to address the complex challenges associated with hyperspectral image classification. …

53 天前 - … Hyperspectral imagery is generally ideal in terms of … the system with a high spectral
resolution of the Earth's … a vital role in unlocking the black box of complex machine learning …

100 天前 - … dimensionality and complex spectral-spatial … spectrum bands that have elevated
resolutions make up the remotely sensed hyperspectral data that is gathered by hyperspectral …

114 天前 - … In this study, we propose a streamlined and efficient … for complex network structures
in learning spatial-spectral … classification, while the densely populated spectral bands in …

119 天前 - … images enable the classification of SCH into three distinct … a complex mapping
function, enabling the creation of 31 … of 31 hyperspectral images covering the spectral range of …