Add folders

Author: robmarkcole

README.md

@@ -175,7 +175,7 @@ What are companies doing?
 This section explores the different techniques (DL, ML & classical) people are applying to common problems in satellite imagery analysis. Classification problems are the most simply addressed via DL, object detection is harder, and cloud detection harder still (niche interest).
 
 ## Land classification
-* Very common problem, typically addressed via CNN. See my notebooks.
+* Very common problem, typically addressed via CNN. [See my notebooks](https://github.com/robmarkcole/satellite-image-deep-learning/tree/master/land_classification)
 
 ## Object detection
 * A typical task is detecting boats on the ocean, which should be simpler than land based challenges owing to blank background in images, but is still challenging and no convincing robust solutions available.

land_classification/README.md

@@ -0,0 +1 @@
+This folder contains my effort on land classification. My approach was to use transfer learning with a CNN.

object_detection/README.md

@@ -0,0 +1 @@
+Object detection (e.g. boats) is challenging enough to be interesting, but of broad enough interest that there are many datasets?

semantic_segmentation/README.md

@@ -0,0 +1 @@
+Placeholder