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README.md

@@ -1288,7 +1288,7 @@ Detecting the most noticeable or important object in a scene
 
   4.6.6. [Ship detection using k-means clustering & CNN classifier on patches](https://towardsdatascience.com/data-science-and-satellite-imagery-985229e1cd2f)
 
-  4.6.7. [sentinel2-xcube-boat-detection](https://github.com/MichelDeudon/sentinel2-xcube-boat-detection) -> detect and count boat traffic in Sentinel-2 imagery using temporal, spectral and spatial features
+  4.6.7. [SARfish](https://github.com/MJCruickshank/SARfish) -> Ship detection in Sentinel 1 Synthetic Aperture Radar (SAR) imagery
 
   4.6.8. [Arbitrary-Oriented Ship Detection through Center-Head Point Extraction](https://arxiv.org/abs/2101.11189) -> arxiv paper. Keypoint estimation is performed to find the center of ships. Then, the size and head point of the ships are regressed. Repo [ASD](https://github.com/JinleiMa/ASD)
 
@@ -1350,8 +1350,6 @@ Detecting the most noticeable or important object in a scene
 
   4.6.37. [xView3-The-First-Place-Solution](https://github.com/BloodAxe/xView3-The-First-Place-Solution) - A winning solution for [xView 3](https://iuu.xview.us/) challenge (Vessel detection, classification and length estimation on Sentinetl-1 images). Contains trained models, inference pipeline and training code & configs to reproduce the results.
 
-  4.6.38. [SARfish](https://github.com/MJCruickshank/SARfish) -> Ship detection in Sentinel 1 Synthetic Aperture Radar (SAR) imagery
-
 
 ### 4.7. Object detection - Cars, vehicles & trains
 
@@ -1946,7 +1944,7 @@ Change detection is a vital component of remote sensing analysis, enabling the m
 
   8.88. [Change detection with Raster Vision](https://www.azavea.com/blog/2022/04/18/change-detection-with-raster-vision/) -> blog post with Colab notebook
 
-  8.89. [building-expansion](https://github.com/reglab/building-expansion) -> code for 2021 [paper](https://arxiv.org/abs/2105.14159): Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms
+  8.89. [building-expansion](https://github.com/reglab/building_expansion) -> code for 2021 [paper](https://arxiv.org/abs/2105.14159): Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms
 
   8.90. [SaDL_CD](https://github.com/justchenhao/SaDL_CD) -> code for 2022 [paper](https://arxiv.org/abs/2205.13769): Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection