Soybean Remote Sensing Extraction Based on Multiple Temporal Remote Sensing Images
It is of great significance to accurately grasp the soybean planting areas for food security in China. In this study,the full temporal images of soybean growth cycle were selected to carry out high-accuracy extraction of soybean planting information. Through the development of this study,the following conclusions were obtained:through multi-temporal spectral comparison,the degree of soybean spectral discrimination on August 7th was the highest;five indexes including NDVI,DVI,NDWI,NDre1 and NDre2,were selected through calculation and comparison of multi-source indexes. Through object-oriented classification,all objects are completely extracted;the extracted plot boundary is in good agreement with the actual field ridge trend,and a variety of index constraints are add-ed. Crops are better differentiated from other vegetation,while forest land,grassland,slope protection shrubs and grasses have less in-fluences on crop extraction. And through post-processing,more complete extraction of all soybean planting information is used to veri-fy the extraction accuracy of soybean planting area extracted by remote sensing images. The final correlation coefficient of remote sens-ing interpretation is 0.7695 and the extraction accuracy is relatively high.
万方数据
维普
