Page 1 of 3 Next  Squadron Leader Mudit Mathur Indian Air Force mr.mudit@gmail.com  Wing Commander Yeshwant Andurkar Indian Air Force ydandurkar@gmail.com Satellite based mapping of resources has been around for a number of years now. The wealth of data will continue to pour down from the satellites for times to come. Analysis of data, reducing it to useful information and disseminating it to the intended users will keep a part of remote sensing community occupied. A broad range of concepts, to describe and prescribe the process of decision making needs to be developed, to bring co-ordination in the chaos of data and information. Considering the uncertain environment, the chance that "good decisions" are made increases with the availability of "good information." The chance that "good information" is available increases with the level of structuring of the process of Knowledge Management. In near future optimization of the data acquisition process itself is likely to receive considerable attention. The process becomes all the more significant in view of myriad number variables that are required to be fine tuned for obtaining the best results and a need to learn from wealth of available experience.  Fig. 1: Purity of information to knowledge In the paper, entire experience space has been reduced to four dimensions namely, the sensors, the scenarios, the mathematical models of analysis and time; which in combinations form patterns of knowledge. However, the consolidation of experience is likely to run into situation similar to the celebrated ‘Chinese Room Problem’ unless adequately guarded against. The paper proposes use of advanced statistical techniques such as ‘ANOVA’ to put the process on a more secure foundation THE CHINESE ROOM : PROBLEM The Chinese Room argument, devised by John Searle centers on a thought experiment in which someone who knows only English sits alone in a room. Imagine a man who does not understand Chinese, enclosed in a room with a heap of symbols written in Chinese. Imagine that the man receives similar Chinese symbols through a window. The symbols he receives may be considered some kind of queries. The man is also provided with a look table; that tells him which symbol from the heap is to be returned out of the window, as an answer to the query. Assuming that look up table is good enough; this man inside the room would appear to be ‘understanding’ Chinese to those outside the room. The argument is intended to show that while suitably informed person may appear to converse in natural language; they are not capable of understanding the language, even in principle. Searle argues that the thought experiment underscores the fact that a person may merely use syntactic rules to manipulate symbol strings, but have no understanding of meaning or semantics. Searle's argument has broad implications for functionalist and computational theories of meaning and data interpretation. PHASE SPACE OF REMOTE SENSING DATA & CONSOLIDATION OF EXPERIENCE A large number of environmental variables, sensor characteristics, mathematical models of analysis, etc influence data acquisition, and analysis in remote sensing field. Relating the correctness of the interpreted data to the large input variables can be misleading if not all the relevant variables have been factored in, some way or the other. The existing panoptic human dependent process actuates itself close to Chinese Room. Even if the system gives correct output for a large sample size, there is always a chance that you are actually mistaking a Chinese Room situation for a meaningful data interpretation. ANALYSIS OF PROCESS VARIANCE: PROBLEM REDEFINED A real world pattern of perceiving a physical object by a naked eye consists of following events
 Fig. 2: Chinese Room Problem  Fig. 3: Dimensions for Process Analysis
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