MSTCNet: Toward Generalization Improving for Multiframe Infrared Small Target Detection.

DBMSTN: A Dual Branch Multiscale Spatio-Temporal Network for dim-small target detection in infrared image.

SIM-MultiDepth: Self-Supervised Indoor Monocular Multi-Frame Depth Estimation Based on Texture-Aware Masking.

SPDepth: Enhancing Self-Supervised Indoor Monocular Depth Estimation via Self-Propagation.

Attribute subspaces for zero-shot learning.

Learning geometric Jensen-Shannon divergence for tiny object detection in remote sensing images.

Space Target Material Identification Based on Graph Convolutional Neural Network.

Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery.

Improved Classification Method Based on the Diverse Density and Sparse Representation Model for a Hyperspectral Image.

A Combined Quantitative Evaluation Model for the Capability of Hyperspectral Imagery for Mineral Mapping.

Improved Position Error Model for Airborne Hyperspectral Imaging Systems.

Multi-LUTs method for canopy nitrogen density estimation in winter wheat by field and UAV hyperspectral.

Multiparameter Optimization for Mineral Mapping Using Hyperspectral Imagery.

ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery.

Target Detection over the Diurnal Cycle Using a Multispectral Infrared Sensor.

A real-time CFAR thresholding method for target detection in hyperspectral images.

Improved support vector machines model based on multi-spectral parameters.

A novel logistic multi-class supervised classification model based on multi-fractal spectrum parameters for hyperspectral data.

Transformation From Hyperspectral Radiance Data to Data of Other Sensors Based on Spectral Superresolution.