These texture feature vectors are extracted from the 128x128 pixel tiles of 40 large aerial images.  These tiles are found in http://vision.ece.ucsb.edu/datasets/Aerial128x128Tiles.

The feature vectors have dimension 48.  They are the mean and standard deviations of 24 Gabors filters (4 scales and 6 orientations).  The exact ordering of the elements is not known.

There are 40 feature files.  The features are stored as floats in binary format, one feature at a time.

The features were extracted on a non-Intel machine so will need to be byte-swapped at the float level if read on an intel machine.

There are raw and normalized versions in the corresponding directories.

The following lists the large aerial image names, the number of vertical tiles, the number of horizontal tiles and the number of feature vectors:

hbiu_141	42 	42	1764
hbiu_142	42 	42	1764
hbiu_143	42	42	1764
pwsb1_34  	42	42	1764
pwsb1_35  	42	42	1764
pwsb1_36 	42	42	1764
pwsb1_37  	42	42	1764
c4950_sf18 	42 	42	1764
c4950_sf19  	41	41	1681
c4950_sf20  	42 	42	1764
haan1_30	41 	41	1681
haan1_31	41 	41	1681
haan1_32	42 	42	1764
haan1_33 	41 	41	1681
haan1_34  	41 	41	1681
pwsb1_18	42 	42	1764
pwsb1_19	42	42	1764
pwsb1_20  	42 	42	1764
pwsb1_21 	42	42 	1764
haoi_88  	42 	42	1764
haoi_90  	42 	41	1722
haoi_91  	42 	42	1764
haoi_92  	42 	42	1764
c209_a1  	34	44	1496
c209_a4  	34 	44	1496
c209_b1  	36 	46	1656
c209_b3  	36	46	1656
c209_c1		35	46	1610
c209_c5 	34 	44	1496
c209_d1  	34 	44	1496
c209_d3 	34 	44	1496
c209_d5 	34 	44	1496

total				54013(?)