Using hyperspectral reflectance data for discrimination between healthy and diseased plants, and determination of damage-level in diseased plants

Proceedings - Applied Imagery Pattern Recognition Workshop

Volumn 2002-January, Issue , 2002, Pages 49-54

  Muhammed, Hamed Hamid ^a  

^a UPPSALA UNIVERSITY   (Sweden)

Author keywords

Crops; Diseases; Hyperspectral imaging; Hyperspectral sensors; Infrared spectra; Pathology; Reflectivity; Stress; Vegetation; Wavelength measurement

Indexed keywords

CROPS; DISEASES; INFRARED DEVICES; PATHOLOGY; PATTERN RECOGNITION; REFLECTION; SPECTROSCOPY; STRESSES; VEGETATION;

HYPERSPECTRAL IMAGING; HYPERSPECTRAL REFLECTANCE; HYPERSPECTRAL SENSORS; INFRARED SPECTRUM; NEAREST-NEIGHBOUR CLASSIFIER; SPECTRAL CHARACTERISTICS; SUM OF SQUARED DIFFERENCES; WAVELENGTH MEASUREMENT;

CLASSIFICATION (OF INFORMATION);

EID: 84948964744     PISSN: 21642516     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIPR.2002.1182254     Document Type: Conference Paper

References (10)

1. Carter G A (1994). Ratios of leaf reflectances in narrow wavebands as indicators of plant stress. International Journal of Remote Sensing, 15, 697-703
2. Carter G A; Cibula W G; Miller R L (1996). Narrow-band reflectance imagery compared with thermal imagery for early detection of plant stress. Journal of Plant Physiology, 148, 515-522
3. Goetz A F H; Gao B C; Wessman C A; Bowman W D (1990). Estimation of biochemical constituents from fresh green leaves by spectrum matching techniques. Proceedings 10th International Geoscience & Remote Sensing Symposium (IGARSS'90), 2, 971-974
4. Hamid Muhammed H; Larsolle A (2002). Using Feature-Vector Bsed Analysis (FVBA), Based on Principal Component Analysis (PCA) and Independent Component Analysis (ICA), Applied to Hyperspectral Reflectance Data, for Discrimination Between Healthy and Diseased Plants, and Determination of Damage-Level in Diseased Plants. Manuscript
5. Knipling E B (1970). Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation. Remote Sensing of Environment, 1, 155-159
6. Kraft M; Weigel H; Mejer G; Brandes F (1996). Reflectance measurements of leaves for detecting visible and non-visible ozone damage to crops. Journal of Plant Physiology, 148, 148-154
7. Larsolle A (2002). A method for instantaneous measurement of reflectance spectra in open fields using diode array spectrometers. Manuscript
8. Malthus T J; Madeira A C (1993). High Resolution Spectroradiometry: Spectral Reflectance of Field Bean Leaves Infected by Botrytis fabae. Remote Sensing of Environment, 45, 107-116
9. Nilsson H E (1991). Hand-held radiometry and IRthermography of plant disease in field plot experiments. International Journal of Remote Sensing, 12(3), 545-557
10. Steven M D; Malthus T J; Demetriades-Shah T H; Danson F M; Clark J A (1990). High spectral resolution indices for crop stress. In: Applications of Remote Sensing in Agriculture (Steven M D; Clark J A; eds), pp 209-227, Butterworth, London