Fix typo

README.md

@@ -35,25 +35,24 @@ Project page: https://project.inria.fr/aerialimagelabeling/
 ```tree
 .
 ├── README.md
-├── data
-│   ├── test
-│   │   └── images
-│   │       ├── bellingham1.tif
-│   │       ├── bellingham2.tif
-│   │       ├── ...
-│   │       └── tyrol-e36.tif
-│   └── train
-│       ├── gt
-│       │   ├── austin1.tif
-│       │   ├── austin2.tif
-│       │   ├── ...
-│       │   └── vienna36.tif
-│       └── images
-│           ├── austin1.tif
-│           ├── austin2.tif
-│           ├── ...
-│           └── vienna36.tif
-└── README.md
+└── data
+    ├── test
+    │   └── images
+    │       ├── bellingham1.tif
+    │       ├── bellingham2.tif
+    │       ├── ...
+    │       └── tyrol-e36.tif
+    └── train
+        ├── gt
+        │   ├── austin1.tif
+        │   ├── austin2.tif
+        │   ├── ...
+        │   └── vienna36.tif
+        └── images
+            ├── austin1.tif
+            ├── austin2.tif
+            ├── ...
+            └── vienna36.tif
 ```
 
 ### Statistics
@@ -101,11 +100,16 @@ You can explore sample images from this dataset:
 If you use the Inria Aerial Image Labeling Dataset dataset in your research, please consider citing the following publication or the dataset's official website:
 
 ```bibtex
-@inproceedings{maggiori2017dataset,
-  title={Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark},
-  author={Maggiori, Emmanuel and Tarabalka, Yuliya and Charpiat, Guillaume and Alliez, Pierre},
-  booktitle={IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
-  year={2017},
-  organization={IEEE}
+@article{xia2017aid,
+  title     = {AID: A benchmark data set for performance evaluation of aerial scene classification},
+  author    = {Xia, Gui-Song and Hu, Jingwen and Hu, Fan and Shi, Baoguang and Bai, Xiang and Zhong, Yanfei and Zhang, Liangpei and Lu, Xiaoqiang},
+  journal   = {IEEE Transactions on Geoscience and Remote Sensing},
+  volume    = {55},
+  number    = {7},
+  pages     = {3965-3981},
+  year      = {2017},
+  publisher = {IEEE}
 }
-```
+```
+
+[AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene  Classification](https://arxiv.org/pdf/1608.05167v1.pdf)