SALT LAND CLASSIFICATION BASED ON PANSHARPENING IMAGES USING RANDOM FOREST ALGORITHM (CASE STUDY: PATI DISTRICK)
Researchers have previously used machine learning to classify Salt Land based on medium-resolution satellite imagery. However, the analysis and policymaking of national salt production require more detailed information in greater spatial object resolution. This study proposes classifying Salt Land i...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/74433 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |