update README

README.rst

@@ -1,52 +1,55 @@
 The Python ADS-B/Mode-S Decoder
 ===============================
 
-If you find this project useful for your research, please considering cite this tool as::
-
-  @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},
-  }
+PyModeS is a Python library designed to decode Mode-S (including ADS-B) message. It can be imported to your python project or used as a standalone tool to view and save live traffic data.
 
+This is a projected created by Junzi Sun, who works at `TU Delft <https://www.tudelft.nl/en/>`_, `Aerospace Engineering Faculty <https://www.tudelft.nl/en/ae/>`_, `CNS/ATM research group <http://cs.lr.tudelft.nl/atm/>`_. It is supported by a number of `contributors <https://github.com/junzis/pyModeS/graphs/contributors>`_ from different institutions.
 
 
 Introduction
----------------------
-PyModeS is a Python library designed to decode Mode-S (including ADS-B) message. It can be imported to your python project or be used as a standalone tool to view and save live traffic data.
+------------
+
+pyModeS supports the decoding of following types of messages:
 
-Messages with following Downlink Formats (DF) are supported:
+- DF4 / DF20: Altitude code
+- DF5 / DF21: Identity code (squawk code)
 
-**DF17 / DF18: Automatic Dependent Surveillance-Broadcast (ADS-B)**
+- DF17 / DF18: Automatic Dependent Surveillance-Broadcast (ADS-B)
 
-- TC=1-4  / BDS 0,8: Aircraft identification and category
-- TC=5-8  / BDS 0,6: Surface position
-- TC=9-18 / BDS 0,5: Airborne position
-- TC=19   / BDS 0,9: Airborne velocity
-- TC=28   / BDS 6,1: Airborne status [to be implemented]
-- TC=29   / BDS 6,2: Target state and status information [to be implemented]
-- TC=31   / BDS 6,5: Aircraft operational status [to be implemented]
+  - TC=1-4  / BDS 0,8: Aircraft identification and category
+  - TC=5-8  / BDS 0,6: Surface position
+  - TC=9-18 / BDS 0,5: Airborne position
+  - TC=19   / BDS 0,9: Airborne velocity
+  - TC=28   / BDS 6,1: Airborne status [to be implemented]
+  - TC=29   / BDS 6,2: Target state and status information [to be implemented]
+  - TC=31   / BDS 6,5: Aircraft operational status [to be implemented]
 
+- DF20 / DF21: Mode-S Comm-B messages
 
-**DF20 / DF21: Mode-S Comm-B replies**
+  - BDS 1,0: Data link capability report
+  - BDS 1,7: Common usage GICB capability report
+  - BDS 2,0: Aircraft identification
+  - BDS 3,0: ACAS active resolution advisory
+  - BDS 4,0: Selected vertical intention
+  - BDS 4,4: Meteorological routine air report (experimental)
+  - BDS 4,5: Meteorological hazard report (experimental)
+  - BDS 5,0: Track and turn report
+  - BDS 6,0: Heading and speed report
 
-- BDS 1,0: Data link capability report
-- BDS 1,7: Common usage GICB capability report
-- BDS 2,0: Aircraft identification
-- BDS 3,0: ACAS active resolution advisory
-- BDS 4,0: Selected vertical intention
-- BDS 4,4: Meteorological routine air report (experimental)
-- BDS 4,5: Meteorological hazard report (experimental)
-- BDS 5,0: Track and turn report
-- BDS 6,0: Heading and speed report
 
 
-**DF4 / DF20: Altitude code**
+If you find this project useful for your research, please considering cite this tool as::
+
+  @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},
+  }
+
 
-**DF5 / DF21: Identity code (squawk code)**
 
 
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