1) Remote Sensing Hyper-spectral Image
遥感超光谱图像
1.
On Remote Sensing Hyper-spectral Image Compression Based on SPIHT Algorithm;
基于SPIHT算法的遥感超光谱图像压缩研究
2) Hyper-spectral remote sensing image
超光谱遥感图像
1.
Hyper-spectral remote sensing image is a three-dimensional image, that is, add one-dimensional spectral information to the two-dimensional images, which make the Hyper-spectral images have a larger number of spectral channels, as well as high spatial resolution and high spectral resolution.
超光谱遥感图像是一种三维立体图像,即在普通二维图像的基础上多加一维光谱信息,使其具有较多的光谱通道数以及高空间分辨率和高光谱分辨率。
3) multispectral remote sensing images
多光谱遥感图像
1.
An effective and lossy compression algorithm of multispectral remote sensing images was proposed.
提出了一种有效的多光谱遥感图像有损压缩算法,该算法根据多光谱遥感图像的数据特点,将IHS变换和整数小波变换相结合进行数据压缩。
4) hyperspectral image
高光谱遥感图像
1.
To avoid different results with the uncertainty of thresholds in classification of hyperspectral image,this paper presents a new approach to object identification based on the exhaustive method(EXM).
为了避免地物识别与分类中,由于不同阀值所引起的不同结果的情况,提出了一种基于穷举法的高光谱遥感图像地物识别方法。
2.
Each pixel spectrum in the hyperspectral imagery has an optimal matching spectrum selected from all possible reference spectra that are correlated with the study area.
介绍了一种基于穷举法的高光谱遥感图像地物识别方法。
3.
For the problem of target detection and classification with remote sensing hyperspectral image,though analysis the traditionary binary coding method,a new binary coding method and the relevant spectral matching algorithm is given in this paper.
针对高光谱遥感图像中地物识别与分类问题,在对传统二进编码方法的优缺点进行分析的基础上,给出了一种新的二进编码策略,并给出了相应的快速匹配算法。
5) hyperspectral remote sensing image
高光谱遥感图像
1.
Research advances and analysis of hyperspectral remote sensing image band selection;
高光谱遥感图像最优波段选择方法的研究进展与分析
2.
A compression algorithm of hyperspectral remote sensing image based on lifting scheme;
基于提升格式的高光谱遥感图像压缩算法
3.
A compression algorithm of hyperspectral remote sensing image based on vector quantization;
一种基于矢量量化的高光谱遥感图像压缩算法
6) multispectral imagery
多光谱遥感图像
1.
A novel error compensated prediction tree method used for lossless compression of multispectral imagery is proposed in this paper.
预测树方法是一种有效的无损多光谱图像压缩技术,将自适应线性预测方法与传统预测树方法相结合,提出了一种多光谱遥感图像的误差补偿预测树压缩方法。
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条