F. Schmidt

Automatic Crater Classification Using a Deep‐Learning‐Based Pipeline

Identifying and classifying impact craters on Mars is crucial for understanding the planet's geological history and surface evolution. Traditional crater classification relies on manual annotation methods, which are often limited by human biases and the difficulty of interpreting geomorphological features. Classifyin...