SALT LAND CLASSIFICATION BASED ON PANSHARPENING IMAGES USING RANDOM FOREST ALGORITHM (CASE STUDY: PATI DISTRICK)

• Main Author: Diastarini
• Format: Theses
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/74433
• Institution: Institut Teknologi Bandung

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...