DIGITAL PROCESSING OF MULTIBAND PHOTOGRAPHS FOR 
CLASSIFICATION OF PADDY AND SUGARCANE 
Y V Venkatesh and M.A.Mojeed" 
Summary : The main objective of the present study is to test 
the feasibility of computer processing of remotely sensed (ae- 
rial) photographic data for the classification of two agricultu- 
ral crops, paddy and sugarcane, in a part of Karnataka State. 
South India. A typical color infrared frame, converted to a 
color print, constituted the input data for computer analysis. 
The classification technique is based on the well known maxi - 
mum likelihood criterion. Results of the analysis, including 
error estimates of classification,are given. It is concluded 
that a full scale computer classification of paddy and sugar- 
cane crops is feasible using color infrared frames. 
$ Alexander von Humboldt Fellow at the Institut für Photogra- 
mmetrie und Luftbildmessung (Professor Dr.G.Hildebrandt), Uni- 
versität Freiburg, Freiburg, West Germany. 
+ Department of Electrical Engineering, Indian Institute of 
Science, Bangalore, India. 
The first author wishes to express his gratefulness to the 
Alexander von Humboldt Stiftung (West Germany) for the finan- 
cial support that made possible his short visit to the Abteilung 
Luftbildmessung (Universität Freiburg), and participation in this Inter- 
national Symposium; and to Professor Dr. G. Hildebrandt (Universi- 
tät Freiburg) for his valuable suggestions and encouragement.