Automatic linguistic description about relevant features of the Mars' surface

Satellites in the orbit of Mars planet provide thousands of images of its surface. Typically these images are analyzed by experts that select relevant features and generate textual reports containing the result of their observations. Nevertheless, the database of images has grown up and currently this procedure is not effective enough. As a result of our research on Computational Theory of Perceptions, we describe a computational application able to generate simple linguistic descriptions of circular structures on the Mars' surface. We include several examples and analysis of the obtained results.

[1]  Lotfi A. Zadeh.  Toward Human Level Machine Intelligence - Is It Achievable? The Need for a Paradigm Shift , 2008 .

[2]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[3]  Lotfi A. Zadeh,et al.  From Computing with Numbers to Computing with Words - from Manipulation of Measurements to Manipulation of Perceptions , 2005, Logic, Thought and Action.

[4]  Gracián Triviño,et al.  Combining Semantic Web technologies and Computational Theory of Perceptions for text generation in financial analysis , 2010, International Conference on Fuzzy Systems.

[5]  Alejandro Sanchez,et al.  Linguistic description of traffic in a roundabout , 2010, International Conference on Fuzzy Systems.

[6]  A. McEwen,et al.  Morphology and Composition of the Surface of Mars: Mars Odyssey THEMIS Results , 2003, Science.

[7]  Beatriz Delgado,et al.  Fuzzy linguistic reporting in driving simulators , 2011, 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Proceedings.

[8]  Juan Luis Castro,et al.  Fuzzy logic controllers are universal approximators , 1995, IEEE Trans. Syst. Man Cybern..

[9]  E. H. Mamdani,et al.  Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.

[10]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2016, Texts in Computer Science.

[11]  Paul Wintz,et al.  Digital image processing (2nd ed.) , 1987 .

[12]  Daniel Sánchez,et al.  Using FORDBMS for the linguistic description of images , 2010, International Conference on Fuzzy Systems.

[13]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[14]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[15]  Daniel Sánchez,et al.  Fuzzy cardinality based evaluation of quantified sentences , 2000, Int. J. Approx. Reason..

[16]  John F. Sowa,et al.  Construing Experience through Meaning: A Language-based Approach to Cognition by M. A. K. Halliday and Christian M. I. M. Matthiessen , 2001, Computational Linguistics.

[17]  Josef Kittler,et al.  A survey of the hough transform , 1988, Comput. Vis. Graph. Image Process..

[18]  Daniel Sánchez,et al.  Describing images via linguistic features and hierarchical segmentation , 2010, International Conference on Fuzzy Systems.

[19]  David E. Smith,et al.  The global topography of Mars and implications for surface evolution. , 1999, Science.