The generation and interpretation of false-colour composite principal component images

1985 ◽  
Vol 6 (6) ◽  
pp. 867-881 ◽  
Author(s):  
A. A. D. CANAS ◽  
M. E. BARNETT
Keyword(s):  
Principal Component ◽  
False Colour Composite ◽  
Colour Composite ◽  
False Colour

scholarly journals Application of nonlinear colour enhancement on transparencies for interpretation of glacier surface characteristics

1992 ◽  
Vol 16 ◽  
pp. 190-192
Author(s):  
Cao Meisheng ◽  
Mi Desheng ◽  
Pu Yinbin ◽  
Liu Jinghaung
Keyword(s):  
Surface Characteristics ◽  
False Colour Composite ◽  
High Contrast ◽  
Glacier Surface ◽  
Ice Surface ◽  
Grey Scale ◽  
Scale Range ◽  
Colour Composite ◽  
Channel Image ◽  
False Colour

According to the analysis of grey scale range on MSS-4, -5, -6 and -7 channel image films for five snow-ice categories on glacier surface, the grey scale among snow, bare ice, ice pinnacle, moraine-covered ice surface and gully bed has been spread nonlinearly by using duplicative processing on high-contrast film. As a result of the rescaling of grey levels, the colour differences of morphological features of Rongbu Glacier in the Qpmolangma region have been increased on false colour composite photography. It is also shown that using MSS-6 to composite false colour images compared to MSS-5 will supply more information for the interpretation of the glacier area.

A technique for generating natural colour images from false colour composite images

2006 ◽  
Vol 27 (14) ◽  
pp. 2977-2989 ◽  
Author(s):  
S. K. Patra ◽  
Manish Shekher ◽  
S. S. Solanki ◽  
R. Ramachandran ◽  
R. Krishnan
Keyword(s):  
False Colour Composite ◽  
Colour Composite ◽  
False Colour

scholarly journals Application of nonlinear colour enhancement on transparencies for interpretation of glacier surface characteristics

1992 ◽  
Vol 16 ◽  
pp. 190-192
Author(s):  
Cao Meisheng ◽  
Mi Desheng ◽  
Pu Yinbin ◽  
Liu Jinghaung
Keyword(s):  
Surface Characteristics ◽  
False Colour Composite ◽  
High Contrast ◽  
Glacier Surface ◽  
Ice Surface ◽  
Grey Scale ◽  
Scale Range ◽  
Colour Composite ◽  
Channel Image ◽  
False Colour

According to the analysis of grey scale range on MSS-4, -5, -6 and -7 channel image films for five snow-ice categories on glacier surface, the grey scale among snow, bare ice, ice pinnacle, moraine-covered ice surface and gully bed has been spread nonlinearly by using duplicative processing on high-contrast film. As a result of the rescaling of grey levels, the colour differences of morphological features of Rongbu Glacier in the Qpmolangma region have been increased on false colour composite photography. It is also shown that using MSS-6 to composite false colour images compared to MSS-5 will supply more information for the interpretation of the glacier area.

scholarly journals Land-use Mapping by Satellite Imagery

Geografie ◽  
1993 ◽  
Vol 98 (3) ◽  
pp. 170-178
Author(s):  
Miroslav Koželuh
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Mapping Method ◽  
False Colour Composite ◽  
Landsat Tm ◽  
Visual Interpretation ◽  
Southern Moravia ◽  
Colour Composite ◽  
False Colour ◽  
Land Use Maps

The land-use mapping method based on the interpretation of satellite imagery is described. Out of various processes applied for obtaining the information on parcelation and thematic contents of the land-use map, the visual interpretation of multispectral false colour composite (FCC) of LANDSAT TM was used. The practical applicability of this method has been verified by the construction of land-use maps on the scales 1 : 50 000 and 1 : 200 000 on the territory of Southern Moravia.

Color models used for the visual interpretation of satellite data

2021 ◽  
Vol 5 ◽  
pp. 44-51
Author(s):  
Georgi Jelev
Keyword(s):  
Satellite Imagery ◽  
False Colour Composite ◽  
Earth Surface ◽  
Visual Interpretation ◽  
Composite Image ◽  
Spectral Bands ◽  
The Earth ◽  
Different Types ◽  
Colour Composite ◽  
False Colour

This study presents the possibilities for using different colour models for visual interpretation of satellite imagery. Using the RGB model to visualise different spectral bands as a false colour composite image make it possible for different types of objects and features on the Earth surface to be highlighted and easily discerned based on their specific colour. Examples are shown based on satellite imagery from several free sources, e.g. the USGS’s Earth Explorer, the ESA’s Copernicus Open Access Hub, etc.

scholarly journals The Use of Spot-Hrv Data for the Mapping of the Land Cover (Applied upon East-Mono, Central Togo)

Afrika Focus ◽  
1991 ◽  
Vol 7 (1) ◽  
pp. 15-48
Author(s):  
Beata Maria De Vliegher
Keyword(s):  
Land Cover ◽  
Image Interpretation ◽  
Remote Sensing Data ◽  
Image Data ◽  
Visual Image ◽  
False Colour Composite ◽  
Data Set ◽  
Image Characteristics ◽  
Land Cover Map ◽  
Colour Composite

The mapping of the land use in a tropical wet and dry area (East-Mono, Central Togo) is made using remote sensing data, recorded by the satellite SPOT. The negative, multispectral image data set has been transferred into positives by photographical means and afterwards enhanced using the diazo technique. The combination of the different diazo coloured images resulted in a false colour composite, being the basic document for the visual image interpretation. The image analysis, based upon differences in colour and texture, resulted in a photomorphic unit map. The use of a decision tree including the various image characteristics allowed the conversion of the photomorphic unit map into a land cover map. For this, six main land cover types could be differentiated resulting in 16 different classes of the final map.

scholarly journals Signature capture of red soil patches and their acidity-A case study of Banka district, Bihar, India

2016 ◽  
Vol 8 (2) ◽  
pp. 874-878
Author(s):  
Binod K. Vimal ◽  
Rajkishore Kumar ◽  
C. D. Choudhary ◽  
Sunil Kumar ◽  
Rakesh Kumar ◽  
...  
Keyword(s):  
Spectral Band ◽  
Satellite Image ◽  
Geographical Area ◽  
Principal Component ◽  
Red Soil ◽  
Visual Interpretation ◽  
Spectral Bands ◽  
Total Geographical Area ◽  
Colour Composite ◽  
Soil Patch

Colour in soils as well as other object is the visual perceptual property which is perceived by human eye. They are governed by spectrum of light corresponding to wavelength or reflected energy of the material. Developed model for soil acidity is based on visual interpretation, principal component and spectral enhancement techniques by using of the satellite image (IRS LISS III, 2014). In this context, red soil patch is much sensitive in red spectral band comparison to green and blue spectral bands and perceived as red tone by human eyes but same soil patch appears green in false colour composite (FCC) image of NIR (0.70-0.80μm), Red (0.60-0.70 μm) and Green (0.50-0.60μm) bands. The maximum coverage of red soil patches having low pH < 6.5 (1:2.5) was recognized in 44.07 per cent of the total geographical area (3019.56 sq.km) under Banka district. Maximum red soil patches having their acidity were recognised in Katoria (18.56%), Chanan (15.15%), Bounsi (10.44%) and Banka (9.92%) blocks. Overall results indicated that variation of tone in different bands helps for the separation of red soil patches.

scholarly journals An analysis of flooding coverage using remote sensing within the context of risk assessment

Geologos ◽  
2019 ◽  
Vol 25 (3) ◽  
pp. 241-248
Author(s):  
Tatiana Solovey
Keyword(s):  
Spatial Information ◽  
Mapping Method ◽  
False Colour Composite ◽  
Pass Filter ◽  
Water Index ◽  
Colour Composite ◽  
Shortwave Infrared ◽  
High Pass ◽  
Flooded Areas ◽  
Sentinel 2

Abstract Results of research of the identification of flooding as a result of groundwater table fluctuations on the example of the valley of the River Vistula, with the use of multi-spectral Sentinel-2 images from the years 2017–2018 are presented. An analysis of indexes of water use, calculated on the basis of green, red and shortwave infrared (SWIR) bands, for extraction of water objects and flooded areas was carried out. Based on the analyses conducted, a mapping method was developed, using three water indexes (MNDWI Modified Normalised Difference Water Index, NDTI Normalised Difference Index and NDPI Normalised Difference Pond Index). Results show that the 10 metre false colour composite RNDTIGNDPIBMNDWI obtained significantly improved submerged extractions more than did individual water indexes. Moreover, the 10-m-images of MNDWI and NDPI, obtained by the sharpening High Pass Filter (HPF), may represent more detailed spatial information on floods than the 20-m-MNDWI and NDPI, obtained from original images.

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