A MULTI-LEVEL NON-UNIFORM SPATIAL SAMPLING METHOD FOR ACCURACY ASSESSMENT OF REMOTE SENSING IMAGE CLASSIFICATION RESULTS

A Multi-Level Non-Uniform Spatial Sampling Method for Accuracy Assessment of Remote Sensing Image Classification Results

Accuracy assessment of classification results has important significance for the application of remote sensing images, which can be achieved by sampling methods.However, the existing sampling methods either ignore spatial correlation or do not consider spatial heterogeneity.Here, we proposed a multi-level non-uniform spatial sampling method (MNSS)

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The Bifidobacterium-dominated fecal microbiome in dairy calves shapes the characteristic growth phenotype of host

Abstract The dominant bacteria in the hindgut of calves play an important role in their growth and health, which could even lead to lifelong consequences.However, the identification of core probiotics in the hindgut and its mechanism regulating host growth remain unclear.Here, a total of 1045 fecal samples were analyzed by 16S rRNA Drain Clip gene

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