Application of spectral mixture analysis and image fusion techniques for image sharpening

被引:82
作者
Gross, HN [1 ]
Schott, JR [1 ]
机构
[1] Rochester Inst Technol, Ctr Imaging Sci, Rochester, NY 14623 USA
关键词
D O I
10.1016/S0034-4257(97)00090-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
image fusion is used to merge images of different spatial and spectral resolutions to create a high spatial resolution multispectral combination. High spectral resolution allows identification of materials in the scene, while high spatial resolution locates those materials. Spectral mixing is an algorithm that estimates the percentage of each material (called endmembers) within each low resolution multi/hyperspectral pixel. In this article we extend the spectral mixing (unmixing) approach to use one or more higher resolution sharpening images, locating the endmembers to higher spatial accuracy. The approach starts with conventional unmixing to generate fraction images. Constrained optimization techniques spatially locate the endmembers to high resolution. Synthetic image generation (SIG) tools are used to generate test images. SIG controls all the image parameters, making it easier to analyze algorithm performance. The results show spectral mixing material maps can be successfully sharpened, increasing the effective resolution of the hyperspectral images. Accurate fusion algorithms integrate spectral and spatial information into a single image, presenting the most information to an analyst. (C) Elsevier Science Inc., 1998.
引用
收藏
页码:85 / 94
页数:10
相关论文
共 16 条
  • [1] Adams J.B., 1993, Remote Geochemical Analysis: Elemental and Mineralogical Composition, P145
  • [2] ADAMS JB, 1986, J GEOPHYS RES-SOLID, V91, P8098, DOI 10.1029/JB091iB08p08098
  • [3] [Anonymous], 1975, NONLINEAR PROGRAMMIN
  • [4] CARPER WJ, 1990, PHOTOGRAMM ENG REM S, V56, P459
  • [5] FILBERTI DP, 1994, OPT ENG, V33, P2520
  • [6] DERIVATION OF SCALED SURFACE REFLECTANCES FROM AVIRIS DATA
    GAO, BC
    HEIDEBRECHT, KB
    GOETZ, AFH
    [J]. REMOTE SENSING OF ENVIRONMENT, 1993, 44 (2-3) : 165 - 178
  • [7] GREEN RO, 1993, P SOC PHOTO-OPT INS, V1937, P2, DOI 10.1117/12.157054
  • [8] GROSS HN, 1996, P 26 INT S REM SENS, P428
  • [9] IVERSON AE, 1994, P SOC PHOTO-OPT INS, V2231, P72, DOI 10.1117/12.179787
  • [10] MUNECHIKA CK, 1993, PHOTOGRAMM ENG REM S, V59, P67