Update README.md

README.md

@@ -3,13 +3,20 @@ license: cc-by-4.0
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 <center>
-  <img src="demo/logo.png" width=70%>
+  <img src="demo/logo.png" width=85%>
 </center>
 
 
 # SEN2NAIP
 
-The increasing demand for high spatial resolution in remote sensing imagery has led to the necessity of super-resolution (SR) algorithms that convert low-resolution (LR) images into high-resolution (HR) ones. To address this need, we introduce SEN2NAIP, a large remote sensing dataset designed to support conventional and reference-based SR model training. SEN2NAIP is structured into two components to provide a broad spectrum of research and application needs. The first component comprises a cross-sensor dataset of 2,851 pairs of LR images from Sentinel-2 L2A and HR images from the National Agriculture Imagery Program (NAIP). Leveraging this dataset, we developed a degradation model capable of converting NAIP images to match the characteristics of Sentinel-2 imagery ($S2_{like}$). Subsequently, this degradation model was utilized to create the second component, a synthetic dataset comprising 17,657 NAIP and $S2_{like}$ image pairs. With the SEN2NAIP dataset, we aim to provide a valuable resource that facilitates the exploration of new techniques for enhancing the spatial resolution of Sentinel-2 satellite imagery.
+The increasing demand for high spatial resolution in remote sensing imagery has led to the necessity of super-resolution (SR) algorithms that 
+convert low-resolution (LR) images into high-resolution (HR) ones. To address this need, we introduce SEN2NAIP, a large remote sensing dataset
+designed to support conventional and reference-based SR model training. SEN2NAIP is structured into two components to provide a broad spectrum
+of research and application needs. The first component comprises a cross-sensor dataset of 2,851 pairs of LR images from Sentinel-2 L2A and HR
+images from the National Agriculture Imagery Program (NAIP). Leveraging this dataset, we developed a degradation model capable of converting NAIP
+images to match the characteristics of Sentinel-2 imagery (S2like). Subsequently, this degradation model was utilized to create the second component,
+a synthetic dataset comprising 17,657 NAIP and S2like image pairs. With the SEN2NAIP dataset, we aim to provide a valuable resource that facilitates
+the exploration of new techniques for enhancing the spatial resolution of Sentinel-2 satellite imagery.
 
 
 ## Load cross-sensor dataset
@@ -91,5 +98,5 @@ plt.show()
 ```
 
 <center>
-  <img src="demo/image_demo.png" width=70%>
+  <img src="demo/image_demo.png" width=75%>
 </center>