Adaptive convolution kernel network for change detection in hyperspectral images
S Liu, H Li, J Chen, S Li, L Song, G Zhang, B Hu - Applied Optics, 2023 - opg.optica.org
Feature extraction is a key step in hyperspectral image change detection. However, many
targets with great various sizes, such as narrow paths, wide rivers, and large tracts of …
targets with great various sizes, such as narrow paths, wide rivers, and large tracts of …
Prior-based collaborative representation with global adaptive weight for hyperspectral anomaly detection
N Wang, Y Shi, Y Cheng, F Yang… - Journal of Applied …, 2023 - spiedigitallibrary.org
Hyperspectral anomaly detection (HAD) is a technique to find observations without prior
knowledge, which is of particular interest as a branch of remote sensing object detection …
knowledge, which is of particular interest as a branch of remote sensing object detection …
[HTML][HTML] 利用光谱解混合的目标检测
张蕾， 乔凯， 吴银花， **思远 - Optics and Precision Engineering, 2023 - opticsjournal.net
摘要高光谱目标检测中背景信息的统计往往受到目标信息的干扰, 而高光谱图像中存在的大量
混合像元会进一步加深这一干扰. 为了准确统计背景信息, 显著降低目标像元对背景统计信息的 …
混合像元会进一步加深这一干扰. 为了准确统计背景信息, 显著降低目标像元对背景统计信息的 …