Classification of features selected through Optimum Index Factor (OIF) for improving classification accuracy

Journal of Forestry Research

Volumn 22, Issue 1, 2011, Pages 99-105

  Patel, Nilanchal ^a   Kaushal, Brijesh ^a  

^a BIRLA INSTITUTE OF TECHNOLOGY   (India)

Author keywords

band combinations; OIF; principal components; supervised classification

Indexed keywords

ACCURACY ASSESSMENT; IMAGE CLASSIFICATION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; RESEARCH WORK; SATELLITE IMAGERY;

EID: 79251620220     PISSN: 1007662X     EISSN: 19930607     Source Type: Journal    
DOI: 10.1007/s11676-011-0133-4     Document Type: Article

References (8)

1. Chavez PS, Berlin GL, Sowers B. 1982. Statistical method for selecting Landsat MSS ratios. Journal of Applied Photographic Engineering, 8: 23-30.
2. Chavez PS, Guptill SC, Bowell JA. 1984. Image processing techniques for thematic mapper data. Proc. ASPRS-ACSM Tech. Paper, 2: 728-742.
3. Jasinski MF. 1996. Estimation of sub pixel vegetation density of natural regions using satellite multispectral imagery. IEEE Trans. Geosci. Remote Sensing, 34: 804-813.
4. Palaniswami C, Upadhyay AK, Maheswarappa HP. 2006. Spectral mixture analysis for sub pixel classification of coconut. Current Science, 91: 12-25.
5. Perumal K, Bhaskaran R. 2010. Supervised classification performance of multispectral images. Journal of Computing, 2(2): 124-129.
6. Saha SK, Kudrat M. 1991. Selection of spectral band combination for land cover/land use classification using a brightness value overlapping'index (BVOI). Journal of the Indian Society of Remote Sensing, 19(3): 141-147.
7. Siljestrom PA, Moreno A, Vikgren K, Caceres LM. 2002. The application of selective principal components analysis (SPCA) to a thematic mapper (TM) image for the recognition of geomorphologic features configuration. International Journal of Remote Sensing, 18: 3843-3852.
8. nd edition. Ranchi: Crown Publications, India.