Coarse-to-fine matching via cross fusion of satellite images

The registration of multimodal satellite images is essential for a prerequisite for accruing complementary observational data.Nevertheless, the differential imaging nuances amongst non-linear radiometric multimodal images precipitate a complexity in keypoint Preorder detection, rendering it a great challenge.This complexity exacerbates the difficul

read more


MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN

Retinal vessel segmentation is extremely important for risk prediction Bench Cushions and treatment of many major diseases.Therefore, accurate segmentation of blood vessel features from retinal images can help assist physicians in diagnosis and treatment.Convolutional neural networks are good at extracting local feature information, but the convolu

read more

Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research

Abstract Background Removal of trace organic chemicals (TOrCs) in aquatic environments has been intensively studied.Some members of natural microbial communities play a vital role in transforming chemical contaminants, however, complex microbial interactions impede us from gaining adequate understanding of TOrC biotransformation mechanisms.To simpl

read more