and being rather uniform on the picture is shown in Fig. 2. 
— -*-S, A4 
It is seen that along with the decrease in the radio 
brightness temperature the fragment of the record corres 
ponding to the boggy terrain is, on average, characterized 
by stronger fluctuations of the signal. 
If we use the above-described approach, the probabi 
lity of the correct identification of the boundary of such 
objects shall be low because of low radio-brightness con 
trast comparable with the fluctuations of the radio-ther 
mal signal within the limits of the uniform object. More 
reliable results are obtained in the cases where the mean 
squared deviation of the radio-brightness temperature is 
taken as an informative parameter. The corresponding 
assessment is sampled and the samples are independent. 
Let us denote the mean squared deviations of radio 
brightness temperatures of different objects ascf,, andcf^. 
For increasing the accuracy of identification it is expe 
dient to use also the sampling mean of the radio-bright 
ness temperatures. For instance, the decision function can 
be determined as follows 
Te K 
210- 
Fig. 2. Registergram 
of radio-thermal 
signal of boggy 
terrain 
24 0 
(5) 
where A - A",| T 9 , - Taal + K £ |<3" i -cr a | > K, and 
j- ( Ts ,G) = K, IT„ - T^jt K ¿ I, consta: 
and K 2 are 
constants ; 
T* - is the mean value of the radio-brightness tem 
perature. Indices 1, 2 denote the objects of 
the first and second types, respectively.