Dependent feature trees for density approximation II. Maximum likelihood clusteringCHITTINENI, C. B. · International Journal of Remote Sensing · 1982

Probabilistic Cluster Labeling of Imagery DataChittineni, C. B. · 1983

Edge And Line Detection in Multidimensional Noisy Imagery DataChittineni, C. B. · 1983

Frequency domain optimal inverse convolution filtering of noisy dataC. B. Chittineni · 1984

Dependent feature trees for density approximation II. Maximum likelihood clusteringCHITTINENI, C. B. · International Journal of Remote Sensing · 1982

On the choice of dimensionality and sample size for feature selectionCHITTINENI, C. B. · International Journal of Remote Sensing · 1980

Maximum Likelihood Estimation of Label Imperfection Probabilities and Its Use in the Identification of Mislabeled PatternsChittineni, C. B. · 1982

Operational AVHRR navigation resultsBrunel, P.; Marsouin, A. · International Journal of Remote Sensing · 2000

Change detection techniquesLu, D.; Mausel, P.; Brondízio, E.; Moran, E. · International Journal of Remote Sensing · 2004

Canopy reflectance, photosynthesis and transpirationSELLERS, P. J. · International Journal of Remote Sensing · 1985

NOAA AVHRR image referencingHO, DIEM; ASEM, ADEL · International Journal of Remote Sensing · 1986

Satellite remote sensing of marine pollutionCLARK, C. D. · International Journal of Remote Sensing · 1993

Using remote sensing to assess biodiversityNagendra, H. · International Journal of Remote Sensing · 2001

Noise removal for SPOT HRV imageryQUARMBY, N. A. · International Journal of Remote Sensing · 1987

Ship wakes in radar imageryStapleton, N. R. · International Journal of Remote Sensing · 1997