Underwater object detection is one of the important technologies for improving efficiency underwater inspection, but existing methods still suffer from problems missed and insufficient target localization capability targets. To address these problems, an improved Transformer multi-scale attentional supervised feature fusion-based method proposed. In our method, objects are preprocessed by prior...

Ultrasound medical (US) imaging non-invasively pictures inside of a human body for disease diagnostics. Speckle noise attacks ultrasound images degrading their visual quality. A twofold processing algorithm is proposed in this work to reduce this multiplicative speckle noise. First fold used block based thresholding, both hard (BHT) and soft (BST), on pixels in wavelet domain with 8, 16, 32 and...

In this paper we give an overview on autonomous navigation, object detection and imaging by UWB sensor networks. We describe coherent and non-coherent approaches of data fusion for imaging and object localization that rely on different levels of synchronous multistatic and asynchronous sensor cooperation. Detection and identification of time variant object features are discussed.