Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects

baltsavias, emmanuel p.

Bibliographic data

Monograph

Persistent identifier:: 856473650

Author:: Baltsavias, Emmanuel P.

Title:: Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects

Sub title:: Joint ISPRS/EARSeL Workshop ; 3 - 4 June 1999, Valladolid, Spain

Scope:: III, 209 Seiten

Year of publication:: 1999

Place of publication:: Coventry

Publisher of the original:: RICS Books

Identifier (digital):: 856473650

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: TECHNICAL SESSION 5 FUSION OF VARIABLE SPATIAL / SPECTRAL RESOLUTION IMAGES

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: FUSION OF 18 m MOMS-2P AND 30 m LANDS AT TM MULTISPECTRAL DATA BY THE GENERALIZED LAPLACIAN PYRAMID. Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Ivan Pippi

Document type:: Monograph

Structure type:: Chapter

International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999 Original MOMS-2P Band 3 and TM infrared bands 4-5-7, dis played as R-G-B colour composite, are shown in Figures 5(a) and (b), respectively, together with a version of MOMS-2P spec trally enhanced in the infrared wavelength through fusion with TM (Fig. 5(c)). Contours and textures are highlighted, since both are related to the spatial frequencies injected (see Fig. 5(d)). Analogously, original MOMS-2P Band 1 (green), Band 2 (red) and TM (visible Bands 3-2-1 displayed as R-G-B true colour) are shown in Figure 6(a)-(c), respectively, together with a version of MOMS-2P spectrally enhanced in the missing blue wavelength through fusion with TM Band 1 (Fig. 6(d)). Notice that in both cases spectral signatures -colour hues on pictures- of the fused image (Fig. 5(c) and Fig. 6(d)) are dif ferent from those of TM (Fig. 5(b) and Fig. 6(c)), since one and two bands, respectively, over three straightforwardly come from the MOMS-2P sensor which exhibits different responses (in gains and offsets) from TM in those spectral bands which are common to both. Furthermore, MOMS-2P bands feature also spectral responses not perfectly overlapped to those of TM. Un like spatial enhancement (Aiazzi, 1998; Chavez, 1991; Nunez 1999; Wald, 1997), spectral enhancement does imply a global change in spectral information with respect to the multi-spectral sensor having lower spatial resolution (TM in this case). The outcome benefit is that the “enhanced” multi-spectral informa tion, which is not a distorted version of that of TM, is available at the spatial resolution of the multi-spectral sensor having higher ground resolution, i.e. of MOMS-2R Waiting for quantitative scores being devised, we may evaluate the quality of fused im ages from the sharpness of spatial high-pass features, as well as from their matching to contours and textures of the scene (Zhou, 1998). Therefore, preservation of multi-spectral signatures, al though desirable, is on the whole of secondary importance for the assessment of the quality of spectral enhancement. Its rel evance is, however, primary when, e.g., multi-spectral data are being merged with a panchromatic observation (Wald, 1997).

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