This study investigates the potential of Sentinel-1A (S1A) dual polarization SAR time series data for vegetable classification in Indonesia. Vegetables are ...

This study investigates the potential of Sentinel-1A (S1A) dual polarization SAR time series data for vegetable classification in Indonesia.

Semantic Scholar extracted view of "Vegetable classification in Indonesia using Dynamic Time Warping of Sentinel-1A dual polarization SAR time series" by ...

Our results showed that dense time series Sentinel-1A images are of high potential for vegetable classification. Besides using backscatter intensity, the ...

Vegetable classification in indonesia using dynamic time warping of Sentinel-1A dual polarization SAR time series. Int. J. Appl. Earth Obs. Geo-Inf. 2019 ...

Vegetable classification in Indonesia using Dynamic Time Warping of Sentinel-1A dual polarization SAR time series · Sentinel-2 cropland mapping using pixel-based ...

Mar 26, 2024 · Vegetable classification in Indonesia using Dynamic Time Warping of Sentinel-1A dual polarization SAR time series. Int. J. Appl. Earth Obs ...

Vegetable mapping using fuzzy classification of Dynamic Time Warping distances from time series of Sentinel-1A images.

Vegetable classification in Indonesia using Dynamic Time Warping of Sentinel-1A dual polarization SAR time series · 参加プロジェクトリスト.

Missing: Dynamic Warping