Traditional color images only depict color intensities in red, green and blue channels, often
making object trackers fail in challenging scenarios, eg, background clutter and rapid …

Mainly due to the limited spatial resolution of the data acquisition devices, hyperspectral
image pixels generally result from the mixture of several components that are present in the …

Nonlocal total variation (NLTV) has emerged as a useful tool in variational methods for
image recovery problems. In this paper, we extend the NLTV-based regularization to …

摘要受高光谱成像仪低空间分辨率及复杂地物的影响, 高光谱遥感图像存在大量混合像元.
为提高地表分类精度以及满足亚像元级目标探测的需求, 混合像元分解技术一直是高光谱遥感 …

Since its origins in the mid-1980s, the field of blind source separation (BSS) has attracted
considerable attention within the signal processing community. One of the main reasons for …

Support vector machine (SVM) is considered as one of the most powerful classifiers for
hyperspectral remote sensing images. However, it has high computational cost. In this …

In the community of remote sensing, nonlinear mixture models have recently received
particular attention in hyperspectral image processing. In this paper, we present a novel …

Observations of ancient deep deformation systems on Mars are important for constraining
planetary dynamics, as well as to identify potential mineral resources. However, such …

The adaptive matched filter (AMF) is a method widely used in spectral unmixing to classify
different tissue chromophores in photoacoustic images. However, a threshold needs to be …

Two-dimensional (2D) materials exhibit unique optical properties when controlled to atomic
thickness, and show large potential for applications in optoelectronics, photodetectors, and …