提高中巴卫星IR MSS图像空间分辨能力的光谱保真融合方法

doi:10.6046/gtzyyg.2004.02.05

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摘要

介绍一种提高中巴资源卫星IRMSS图像空间分辨能力的光谱保真融合方法。通过计算低分辨率图像上每一个像元对应的高分辨率图像上一组子像元的平均亮度值及二者之差,将该差值与高分辨率图像上相应子像元亮度求和,形成新的图像。该图像具有高分辨率图像的空间细节,又具有低分辨率图像的光谱信息,从而实现融合图像信息保真。试验表明,光谱保真融合方法可以在不改变光谱信息的前提下提高IRMSS图像的空间分辨能力,是一种新的简单实用的数据处理方法。

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Abstract：

A new data fusion method is proposed in this paper for improving CBERS-1 IRMSS images based on CCD image. After precise co-registration, each pixel in a low spatial resolution image is correspondent with a group of sub-pixels in a high spatial resolution image. For each pixel in the low spatial resolution image, the average value of its co-registered sub-pixel brightness values in the high spatial resolution image was calculated. The difference between the pixel brightness value in the low resolution image and its sub-pixels average value was added to every sub-pixel value in the high resolution image. This procedure was applied to each pixel to produce a data fusion image. The fusion image had more spatial details than the low resolution image, and its spectral information was similar to that of the low resolution image. The test result indicates that the new data fusion method is an improved fusion technique not only in enhancing the spatial details of IRMSS image but also in keeping the fidelity of the image spectral properties. Different from other data fusion methods, the new method can perform data fusion for an individual low resolution image and realize the enhancement of the thermal infrared band 6 of Landsat based on the other higher resolution band image. Being a very simple and practical technique, it is potentially useful in enhancing the spatial details and preserving the spectral fidelity of the low resolution images.

收稿日期: 2003-12-11 出版日期: 2011-08-02

作者简介: 齐泽荣(1958-),男,中国国土资源航空物探遥感中心,教授级高工,主要从事遥感图像处理工程、图像处理方法研究、遥感地质应用及遥感图像处理软件开发与系统集成工作.在视反射率图像生成技术、矿化蚀变信息增强提取技术、数据融合处理技术、遥感地质应用等方面,开展较多的研究探索工作,并在国内外学术期刊和国内外学术讨论会上发表相关论文.

引用本文:

齐泽荣, 郗海莉. 提高中巴卫星IR MSS图像空间分辨能力的光谱保真融合方法[J]. 国土资源遥感, 2004, 16(2): 21-25，81.
QI Ze-rong, XI Hai-li . A NEW DATA FUSION METHOD FOR IMPROVING CBERS-1 IRMSS IMAGES BASED ON CCD IMAGE. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(2): 21-25，81.

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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2004.02.05 或 https://www.gtzyyg.com/CN/Y2004/V16/I2/21

[1] Garguet-Duport B, Girel J, Chassery J M,et al..The use of multiresolution analysis and wavelets transform for merging SPOT panchromatic and multispectral image data［J］.Photo. Eng. and Remote Sensing, 1996,62(9):1057-1066.

[2] Zhukov B, Oertel D, Lanzl F, et al..Unmixing-Based Multisensor Multiresolution Image Fusion［J］.IEEE Transactions on Geosciences and Remote Sensing, 1999,37(3):1212-1226.

[3] Conese C, Maselli F, De Filippis T.A new method for the integration of Landsat TM and SPOT panchromatic dada［J］.Int. Arch. Photogramm. Remote Sensing, ISPRS Commission 1992,23(3):892-895.

[4] Li H, Manjunath B S, Mitra S K.Multisensor image fusion using the wavelet transform［J］.Opt. Models Image Process, 1995,57(3):235-245.

[5] Price J C.Combining Panchromatic and Multispectral Imagery from Dual Resolution Satellite Instruments［J］.Remote Sensing of Environment, 1987,21(9):19-128.

[6] Price J C.Combining Multispectral data of Differing spatial resolution［J］.IEEE Transactions on Geosciences and Remote Sensing, 1999,37(3):1199-1203.

[7] Nunez J, Otazu X, Fors O, et al..Multiresolution-Based Image Fusion with Additive Wavelet Decomposition［J］.IEEE Transactions on Geosciences and Remote Sensing, 1999,37(3):1204-1211.

[8] Jiao Zi-ti, et al..A New Fusion Method Based on Scale-transformation［J］.Journal of Remote Sensing, 2000,6:1-7.

[9] Chavez P S, Sides S C, Anderson J A.Comparison of three different methods to merge multi-resolution and multi-spectral data: Landsat TM and SPOT panchromatic［J］.Photo. Eng. Remote Sensing, 1991,57(3):295-303.

[10] Qi, Z R.Extraction of spectral reflectance images from multi-spectral images by the HIS transformation model［J］.International Journal of Remote Sensing, 1996,17(17):3467-3475.

[11] Schowengerdt R A.Reconstruction of multispatial, multispectral image data using spatial frequency content ［J］.Photo. Eng. Remote Sensing, 1998,46(10):1325-1334.

[12] Nishii R, Kusanobu S, Tanaka S.Enhancement of low spatial resolution image based on high resolution bands［J］.IEEE Transactions on Geosciences and Remote Sensing, 1996,34(5):1151-1158.

[13] Tom V T, Carlotto M J, Scholten D K.Spatial sharpening of thematic mapper data using a multiband approach［J］.Opt. Eng., 1985,24(6):1026-1029.