A Low-Measurement-Cost-Based Multi-Strategy Hyperspectral Image Classification Scheme. [PDF]
Bai Y, Liu D, Zhang L, Wu H.
europepmc +1 more source
Wetlands provide essential landscape functions, retaining water and nutrients, supporting biodiversity, and sequestering carbon, but assessing these functions at large spatial scales remains challenging. This systematic review describes and evaluates currently available approaches to quantifying wetland function at landscape scales.
Kimberly Van Meter +6 more
wiley +1 more source
Multi-Scale Depthwise Separable Capsule Network for hyperspectral image classification. [PDF]
Wei L, Ran H, Yin Y, Yang H.
europepmc +1 more source
Hyperspectral Image Classification Using CNN12
openaire +1 more source
Physics‐Guided CNN‐LSTM Model With Multi‐Head Attention for Aerosol Optical Depth Prediction
Abstract Accurate aerosol optical depth (AOD) prediction remains challenging due to complex aerosol‐radiation interactions and highly variable spatio‐temporal patterns. Three critical scientific issues motivate this work: understanding whether and how physical principles can enhance deep learning predictions, identifying which aerosol properties most ...
Liu Zeyang +7 more
wiley +1 more source
Superpixel guided spectral-spatial feature extraction and weighted feature fusion for hyperspectral image classification with limited training samples. [PDF]
Li Y, Zhang L, Chen L, Ma Y.
europepmc +1 more source
Abstract Extensive research over the past two decades has shown that early Mars likely had a warmer, wetter climate with widespread water activity. Ferromagnesian (Fe,Mg‐rich) clay deposits are compelling markers of these ancient environments, helping reconstruct Mars' hydrologic evolution, assess past habitability, and guide future exploration.
Jeremy Brossier +8 more
wiley +1 more source
An Iterative Pseudo Label Generation framework for semi-supervised hyperspectral image classification using the Segment Anything Model. [PDF]
Zhao Z +6 more
europepmc +1 more source
Review: The Importance of Lateral Flow Through Snow in Hydrological Processes Globally
Abstract The flow of liquid water through snow is a complex and poorly understood problem in snow hydrology. This paper reviews current understanding of the lateral flow of water through snow. We determined that the main physical processes producing lateral flow are: (a) hydraulic barriers at layer interfaces, (b) soil saturation overland/through‐snow ...
R. W. Webb +3 more
wiley +1 more source
Discriminating Spectral-Spatial Feature Extraction for Hyperspectral Image Classification: A Review. [PDF]
Li N, Wang Z, Cheikh FA.
europepmc +1 more source

