5 papers · 1 filter
Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering
Peifu Liu, Tingfa Xu, Jie Wang +3
Hyperspectral image classification demands spatially coherent predictions and precise boundary delineation. Yet prevailing superpixel-based methods face an inherent contradiction:…
HyperCOD: The First Challenging Benchmark and Baseline for Hyperspectral Camouflaged Object Detection
Shuyan Bai, Tingfa Xu, Peifu Liu +5
RGB-based camouflaged object detection struggles in real-world scenarios where color and texture cues are ambiguous. While hyperspectral image offers a powerful alternative by capt…
Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline
Peifu Liu, Huiyan Bai, Tingfa Xu +3
The objective of hyperspectral remote sensing image salient object detection (HRSI-SOD) is to identify objects or regions that exhibit distinct spectrum contrasts with the backgrou…
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification
Huiyan Bai, Tingfa Xu, Huan Chen +2
Extracting discriminative information from complex spectral details in hyperspectral image (HSI) for HSI classification is pivotal. While current prevailing methods rely on spectra…
Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
Peifu Liu, Tingfa Xu, Jie Wang +3
Hyperspectral image classification, a task that assigns pre-defined classes to each pixel in a hyperspectral image of remote sensing scenes, often faces challenges due to the negle…