Comparison of three different methods to merge multiresolution and multispectral data: LANDSAT TM and SPOT panchromatic

Conference · Fri Jun 01 04:00:00 EDT 1990 · AAPG Bulletin (American Association of Petroleum Geologists); (USA)

OSTI ID:6165108

Chavez, Jr, P S; Sides, S C; Anderson, J A ^[1]

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1. Geological Survey, Flagstaff, AZ (USA)

The merging of multisensor image data is becoming a more widely used procedure because of the complementary nature of various data sets. Ideally, the method used to merge data sets with high spatial and high spectral resolution should not distort the spectral characteristics of the high spectral resolution data. This paper compares the results of three different methods used to merge the information contents of the Landsat Thematic Mapper (TM) and SPOT (Systeme Probatoire d'Observation de la Terre) panchromatic data. The comparison is from a spectral characteristics point of view and is made using statistical, visual, and graphical analyses of the results. The three methods used to merge the information contents of the Landsat TM and SPOT panchromatic data were the hue-intensity-saturation (HIS), principal component analysis (PCA), and high pass filter (HPF) procedures. The popular HIS method distorted the spectral characteristics of the data the most. The HPF method distorted them the least. The distortions made by the HPF method were minimal and difficult to detect.

• OSTI ID: 6165108
• Report Number(s): CONF-900702--
• Conference Information: Journal Name: AAPG Bulletin (American Association of Petroleum Geologists); (USA) Journal Volume: 74:6
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
580000* -- Geosciences
COMPARATIVE EVALUATIONS
DATA ANALYSIS
LANDSAT SATELLITES
MAPPING
REMOTE SENSING
RESOLUTION
SATELLITES