scholarly journals Correction to: Review of Landsat False Color Composite Images for Lithological Mapping of Pre-Cambrian to Recent Rocks: A Case Study of Pail/Padhrar Area in Punjab Province, Pakistan

2020 ◽  
Vol 48 (5) ◽  
pp. 829-830
Author(s):  
Rizwan Saqib Bajwa ◽  
Naveed Ahsan ◽  
Sajid Rashid Ahmad
Keyword(s):  
Lithological Mapping ◽  
False Color ◽  
False Color Composite ◽  
Punjab Province ◽  
Color Composite

scholarly journals Identification of Continental Wetlands Using Different Orbital Remote Sensors

Terr Plural ◽  
2021 ◽  
Vol 15 ◽  
pp. 1-25
Author(s):  
Isadora Taborda Silva ◽  
Jéssica Rabito Chaves ◽  
Helen Rezende Figueiredo ◽  
Bruno Silva Ferreira ◽  
César Claudio Cáceres Encina ◽  
...  
Keyword(s):  
Near Infrared ◽  
Spectral Band ◽  
Landsat 8 ◽  
Remote Sensors ◽  
False Color ◽  
False Color Composite ◽  
International Importance ◽  
Color Composite ◽  
Shortwave Infrared ◽  
Sentinel 2

This paper evaluates the potential of false-color composite images, from 3 different remote sensing satellites, for the identification of continental wetlands. Landsat 8, Sentinel-2 and CBERS-4 scenes from three different Ramsar sites (i.e., sites designated to be of international importance) two sites located within the Mato-Grossense Pantanal and one within the Sul-mato-grossense were used for analyses. For each site, images from both the dry and rainy seasons were analyzed using Near-Infrared (NIR), Shortwave Infrared (SWIR), and visible (VIS) bands. The results show that false-color composite images from both the Landsat 8 and the Sentinel-2 satellites, with both SWIR 2-NIR-BLUE and NIR-SWIR-RED spectral band combinations, allow the identification of wetlands.

scholarly journals Classification of COSMO SkyMed SAR Data Based on Coherence and Backscattering Coefficient

2012 ◽  
pp. 87-90
Author(s):  
V. Vijaya ◽  
G.Jenny Niveditha
Keyword(s):  
Urban Areas ◽  
Supervised Classification ◽  
Classification Scheme ◽  
Backscattering Coefficient ◽  
Composite Image ◽  
False Color ◽  
False Color Composite ◽  
Color Composite ◽  
Difference Images

A novel supervised classification approach is proposed for high-resolution dual-polarization (dual-pol) amplitude COSMO SkyMed images. Coherence, mean backscattering coefficient and backscatter difference images are generated, from which the False Color Composite (FCC) image is formed. A classification scheme based on maximum likelihood algorithm land cover classification is implemented on the false color composite image to classify the river, vegetation and the urban areas of Jharia, located in the state of Jharkhand in India using MATLAB 7.6 and ENVI 4.7.

scholarly journals Recognition of a porphyry system using ASTER data in Bideghan – Qom province (central of Iran)

2014 ◽  
Vol 6 (2) ◽  
pp. 1765-1798 ◽  
Author(s):  
F. Feizi ◽  
E. Mansouri
Keyword(s):  
Thermal Emission ◽  
Volcanic Rocks ◽  
Principal Component ◽  
Field Investigation ◽  
Least Square ◽  
Band Ratio ◽  
Aster Data ◽  
False Color ◽  
False Color Composite ◽  
Color Composite

Abstract. The Bideghan area is located south of the Qom province (central of Iran). The most impressive geological features in the studied area are the Eocene sequences which are intruded by volcanic rocks with basic compositions. Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) image processing have been used for hydrothermal alteration mapping and lineaments identification in the investigated area. In this research false color composite, band ratio, Principal Component Analysis (PCA), Least Square Fit (LS-Fit) and Spectral Angel Mapping (SAM) techniques were applied on ASTER data and argillic, phyllic, Iron oxide and propylitic alteration zones were separated. Lineaments were identified by aid of false color composite, high pass filters and hill-shade DEM techniques. The results of this study demonstrate the usefulness of remote sensing method and ASTER multi-spectral data for alteration and lineament mapping. Finally, the results were confirmed by field investigation.

A new false color composite technique for dust enhancement and point source determination in Middle East

2011 ◽  
Author(s):  
Khadijeh Karimi ◽  
Hamid Taheri Shahraiyni ◽  
Majid Habibi Nokhandan ◽  
Naser Hafezi Moghaddas ◽  
Melika Sanaeifar
Keyword(s):  
Middle East ◽  
Point Source ◽  
False Color ◽  
False Color Composite ◽  
Source Determination ◽  
Color Composite

False Color Composite System of Multi-Spectral RS Images Based on IDL

2012 ◽  
Vol 468-471 ◽  
pp. 1671-1674
Author(s):  
Ting Yin ◽  
Wen Tao Zhang ◽  
Xian Ming Xiong
Keyword(s):  
Linear Extension ◽  
Composite System ◽  
Color Image ◽  
Visual Effects ◽  
False Color ◽  
False Color Composite ◽  
Rich Information ◽  
False Color Image ◽  
Color Composite

Several methods of the choice in assembled spectral and color composite in the false color composite of multi-spectral RS images are discussed. The research indicates that using the OIF method to carry on the band choice, unifying the easy and feasible RGB false colored synthesis and carrying on the method of image linear extension can realize the false color composite of multi-spectral RS images effectively, and the obtaining false color image has rich information and distinctive visual effects.

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