Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 6, 137(2024)
A Fusion of Spectral Gradient and Machine Learning to Detect Megacity Land Cover Changes
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Table 1. Spectral and Spatial resolutions of selected satellite images
View tableView in ArticleTable 1. Spectral and Spatial resolutions of selected satellite images
卫星影像信息 云覆盖/% 波段选择 波长 /μm 空间分辨率/m LC08_L1TP LANDSAT_8 03/12/2015 118/038 0.08 Band 1 – Coastal Band 2 – Blue Band 3 – Green Band 4 – Red Band 5 – NIR Band 6 – SWIR 1 Band 7 – SWIR 2 0.433 ~ 0.453 0.450 ~ 0.515 0.525 ~ 0.600 0.630 ~ 0.680 0.845 ~ 0.885 1.560 ~ 1.660 2.100 ~ 2.300 30 30 30 30 30 30 30 LC08_L1TP LANDSAT_8 03/20/2024 118/038 0 Band 1 – Coastal Band 2 – Blue Band 3 – Green Band 4 – Red Band 5 – NIR Band 6 – SWIR 1 Band 7 – SWIR 2 0.433 ~ 0.453 0.450 ~ 0.515 0.525 ~ 0.600 0.630 ~ 0.680 0.845 ~ 0.885 1.560 ~ 1.660 2.100 ~ 2.300 30 30 30 30 30 30 30
Table 2. Model results of the CVA, NDVI, SGD and MSGD methods for land cover change detection in Pudong District
View tableView in ArticleTable 2. Model results of the CVA, NDVI, SGD and MSGD methods for land cover change detection in Pudong District
模型 CVA NDVI SGD MSGD 漏检率/% 4.60 5.15 1.90 0.94 错检率/% 1.35 1.06 3.04 2.93 准确率/% 94.05 93.79 95.06 96.13 Kappa系数 0.37 0.39 0.52 0.65
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Yiwen LU, Lishen MAO, Yichun XIE, Meiling ZHOU, Hequn YANG, Jing XU. A Fusion of Spectral Gradient and Machine Learning to Detect Megacity Land Cover Changes[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(6): 137
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Received: Sep. 13, 2024
Accepted: --
Published Online: Jan. 23, 2025
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