Abstract Aiming at the problem of low change detection accuracy caused by difference in brightness optical remote sensing images, an This method borrows idea convolution learning features deep learning, performs operations on two and obtains convolutional map fusion. logarithmic ratio map; then multi-layer maps respectively. The feature after each layer are combined to obtain a fused fusion fin...

Context Insects are a major threat to crop production. They can infect, damage, and reduce agricultural yields. Accurate fast detection of insects will help insect control. From computer algorithm point view, from imagery is tiny object problem. Handling objects in large datasets challenging due small resolution the an image, other nuisances such as occlusion, noise, lack features. Aims Our aim...

The extended utilization of picture-enhancing or manipulating tools has led to ease multimedia data which includes digital images. These manipulations will disturb the truthfulness and lawfulness images, resulting in misapprehension, might social security. image forensic approach been employed for detecting whether not an manipulated with usage positive attacks splicing, copy-move. This paper p...

Purpose: The paper aims to analyze the detection and prediction of brain diseases for future betterment using Convolutional neural network. Objectives: main objective this journal is find most correct technique detective work in various like Alzheimer’s disease tumours machine learning deep learning-based approaches. Methodology: An automatic tool neoplasm classification based on magnetic reson...