Hyperspectral remote sensing images contain abundant spectral information for accurate change detection.
高光谱遥感影像包含了丰富的光谱特征，为精确的变化检测提供了依据。
The SOFM algorithm based on a neural network and an improved algorithm have a good effect on space compression of hyperspectral remote sensing images.
基于神经网络的SOFM算法及其改进算法取得较好的空间压缩效果，实现了对高光谱遥感图像的有效压缩。
Optical remote sensing relies on the use of panchromatic, multispectral and hyperspectral images with a high spectral resolution and spatial resolution to distinguish the observed scene.
光学遥感依赖于利用多光谱和超光谱图像具有较高的光谱分辨率和空间分辨率来对所观测场景进行辨别。
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