Image Models As Geographic Information Segmentation Sequences - IMAGISS

A radio-frequency identification (RFID) interrogator is provided that generates pseudo-randomly selected radio frequency interrogation signals for transmission on a first antenna and receives the reflected modulated radio-frequency signals via continuous-wave backscatter from a RFID tag device through a second antenna coupled to a heterodyne receiver where data is extracted. The RFID tag device can be configured to write data as well as have data read therefrom by the interrogator. The frequency-hopping transmission in combination with the heterodyne reception provides higher power levels with substantially reduced interference, as well as the ability to link with bounced signals at certain frequencies, increasing the level of communication in the RFID system.

[1]  Michael G. Thomason,et al.  Syntactic Pattern Recognition, An Introduction , 1978, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Patrick M. Kelly,et al.  Preprocessing remotely sensed data for efficient analysis and classification , 1993, Defense, Security, and Sensing.

[3]  R. O'Neill,et al.  Landscape Ecology Explained@@@Landscape Ecology in Theory and Practice: Pattern and Process , 2001 .

[4]  O. Firschein,et al.  Syntactic pattern recognition and applications , 1983, Proceedings of the IEEE.

[5]  J. Wade Davis,et al.  Statistical Pattern Recognition , 2003, Technometrics.

[6]  K. McGarigal,et al.  FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. , 1995 .

[7]  R. D. Johnson,et al.  Change vector analysis: A technique for the multispectral monitoring of land cover and condition , 1998 .

[8]  János Podani,et al.  Introduction to the exploration of multivariate biological data , 2000 .

[9]  Julius T. Tou,et al.  Pattern Recognition Principles , 1974 .

[10]  Boca Raton,et al.  Clustering for Data Mining , 2005 .

[11]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[13]  G. P. Patil,et al.  Multiple indicators, partially ordered sets, and linear extensions: Multi-criterion ranking and prioritization , 2004, Environmental and Ecological Statistics.

[14]  Joseph J. Luczkovich,et al.  Multispectral change vector analysis for monitoring coastal marine environments , 1992 .

[15]  Yoh-Han Pao,et al.  Adaptive pattern recognition and neural networks , 1989 .

[16]  Lorenzo Bruzzone,et al.  Automatic analysis of the difference image for unsupervised change detection , 2000, IEEE Trans. Geosci. Remote. Sens..

[17]  P. Gong,et al.  Land-use/land-cover change detection using improved change-vector analysis , 2003 .

[18]  Chris Chatfield,et al.  Statistical Methods for Spatial Data Analysis , 2004 .

[19]  S. Goetz,et al.  Radiometric rectification - Toward a common radiometric response among multidate, multisensor images , 1991 .

[20]  A. Strahler,et al.  Indicators of land-cover change for change-vector analysis in multitemporal space at coarse spatial scales , 1994 .

[21]  C. Woodcock,et al.  Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .

[22]  Michael L. Baird.  Structural Pattern Recognition , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.