update citation info

README.rst

@@ -1,7 +1,26 @@
 The Python ADS-B/Mode-S Decoder
 ******************************************
 
-Python library for ADS-B/Mode-S message decoding. Supported Downlink Formats (DF) are:
+If you find this project useful for your research, please cite our work (bibtex format):
+
+::
+
+  @article{sun2019pymodes,
+      author={J. {Sun} and H. {V\^u} and J. {Ellerbroek} and J. M. {Hoekstra}},
+      journal={IEEE Transactions on Intelligent Transportation Systems},
+      title={pyModeS: Decoding Mode-S Surveillance Data for Open Air Transportation Research},
+      year={2019},
+      doi={10.1109/TITS.2019.2914770},
+      ISSN={1524-9050},
+  }
+
+
+
+Introduction
+---------------------
+PyModeS is a Python library designed to decode Mode-S (including ADS-B) message.
+Message with following Downlink Formats (DF) are supported:
+
 
 **DF17 / DF18: Automatic Dependent Surveillance - Broadcast (ADS-B)**
 
@@ -19,12 +38,11 @@ Python library for ADS-B/Mode-S message decoding. Supported Downlink Formats (DF
 - BDS 1,0: Data link capability report
 - BDS 1,7: Common usage GICB capability report
 - BDS 2,0: Aircraft identification
-- BDS 2,1: Aircraft and airline registration markings
 - BDS 3,0: ACAS active resolution advisory
 - BDS 4,0: Selected vertical intention
-- BDS 4,4: Meteorological routine air report
+- BDS 4,4: Meteorological routine air report (experimental)
+- BDS 4,5: Meteorological hazard report (experimental)
 - BDS 5,0: Track and turn report
-- BDS 5,3: Air-referenced state vector
 - BDS 6,0: Heading and speed report
 
 
@@ -32,28 +50,20 @@ Python library for ADS-B/Mode-S message decoding. Supported Downlink Formats (DF
 
 **DF5 / DF21: Identity code (squawk code)**
 
-Detailed manual on Mode-S decoding is published by the author, at:
-https://mode-s.org/decode
-
-
-New features in v2.0
----------------------
-- New structure of the libraries
-- ADS-B and Comm-B data streaming
-- Active aircraft viewing (terminal curses)
-- Improved BDS identification
-- Optimizing decoding speed
 
-
+Resources
-Source code
 -----------
 Checkout and contribute to this open-source project at:
 https://github.com/junzis/pyModeS
 
-API documentation at:
+Detailed manual on Mode-S decoding is published at:
+https://mode-s.org/decode.
+
+API documentation of pyModeS is at:
 http://pymodes.readthedocs.io
 
 
+
 Install
 -------