Bidirectional Recurrent Imputation and Abundance Estimation of LULC Classes with MODIS Multispectral Time Series and Geo-Topographic and Climatic Data
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING（2024）
Key words
Abundance estimation,bidirectional long-short term memory (LSTM),climatic data,deep learning (DL),geo-topographic data,land use and land cover (LULC),missing values,spectral unmixing (SU)
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined