Training dataset is used to identify desired features in remote sensed image in:

Correct option is A

✅ Correct option: (a) Supervised classification method
Explanation (why a is correct):
· In supervised classification, the analyst:
· Selects training samples (training datasets) of known land-cover types.
· Uses these samples to train the classifier.
· The algorithm then classifies the entire image based on:
· Spectral signatures of the training data.
· Hence, training datasets are an essential requirement of supervised classification.
❌ Why other options are incorrect
· (b) Self-learning image analysis method
· Not a standard remote sensing classification category.
· (c) Classification using manually
· Visual interpretation does not use training datasets in algorithmic sense.
· (d) Un-supervised classification method
· Does not use prior training data.
· Clusters pixels automatically based on spectral similarity.
�� Key Points
· Supervised classification → training data required
· Unsupervised classification → no training data
· Common supervised methods: Maximum likelihood, minimum distance
✔️ Final Answer: Option (a)