demoaerial.m

This code can parse any image in matlab. Very elaborate code

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% This script contains a number of examples about how to use the
% LHI_UCLA_Aerial_Image_5 subset
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

clear; close all;

% Set default folers
HOMEIMAGES = 'http://yoshi.cs.ucla.edu/yao/data/LHI_UCLA_Aerial_Image_5/Images'; % you can set here your default folder
HOMEANNOTATIONS = 'http://yoshi.cs.ucla.edu/yao/data/LHI_UCLA_Aerial_Image_5/Annotations'; % you can set here your default folder
HOMELABELMAPS = 'http://yoshi.cs.ucla.edu/yao/data/LHI_UCLA_Aerial_Image_5/LabelMaps';

% Set new folder to store translated annotations and labelmaps
NEWHOMELABELMAPS = 'C:/temp/aerial/LabelMaps_new';
NEWHOMEANNOTATIONS = 'C:/temp/aerial/Annotations_new';

% Load database
D = LHIdatabase(HOMEANNOTATIONS);



% Regularize names of objets ( first time running or to customize the
% translation rule ). For second time running, please use NEWHOMEANNOTATIONS,
% and skip the LHIregulatenames and upgradeDatabase step
db = LHIregulatenames(D,HOMELABELMAPS,NEWHOMELABELMAPS,'namelist_AerialImage.txt');
% Save back to your own folder
upgradeDatabase(db,NEWHOMEANNOTATIONS);
%% How to customize the namelist_*.txt file
% You can modify the object categories that will appear in the dataset by 
% editing the 'namelist_*.txt' file. 
% For example, if you want 'athlete' and 'spectator' be merged into a same category
% 'human'. The 'namelist_*.txt' should look like:
%      %%%%%%%%%%%
%      %salient objects
%      %%%%%%%%%%%
%      human,athlete,spectator 
%      ......
% After running LHIregulatenames(), the 'athlete' and 'spectator' will 
% merge into 'human', and share same color in the labelmap

% Another example, if your algorithms concerns about a certain category 
% inside the "less important objects" list (e.g. 'chair'),while 
% you have no interest on some categories inside the "salient objects" 
% such as 'window' 'light'. You can simply comment the line of 
% 'window' 'light' and uncomment the line of 'chair'. Then the 'chair' will 
% automatically appear among the object list when you do LHIregulatenames(), and
% 'window','light' will be categorized into 'other'.
%      %%%%%%%%%%%
%      %salient objects
%      %%%%%%%%%%%
%      .........
%      %light
%      %window 
%      ......   
%      %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%      %less important objects
%      % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%      .....
%      chair
%      %.....
% The SALIENCY of an object category is decided heuristicly by
% occuring frequency and occupied area of the category, which differs
% from case to case.


%show images
LHIdbshowscenes(db, HOMEIMAGES, HOMELABELMAPS,0,[6,5]); 

%show images with building 
[db1,j] = LHIquery(db, 'object.name', 'building');
LHIdbshowscenes(db1, HOMEIMAGES, HOMELABELMAPS,0,[2,2]); % this shows all the 

%show object statistics
[a,b,c,d,e]=LHIobjectstats(db,HOMEIMAGES,NEWHOMELABELMAPS);