The impact of seasonality on multi-scale feature extraction techniques
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2018.1556354
Abstract: ABSTRACT A key component in constructing a broad-scale, gridded population dataset is fine resolution geospatial data accurately depicting the extent of human activity. Analogous datasets are often developed using a wide range of methods and… read more here.
Keywords: scale feature; resolution; feature; settlement ... See more keywords
Gradient and Multi Scale Feature Inspired Deep Blind Gaussian Denoiser
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3162608
Abstract: In this paper, a novel deep blind Gaussian denoising network is proposed utilizing the concepts of gradient information, multi-scale feature information and feature denoising for removing additive white Gaussian noise (AWGN) from images. The proposed… read more here.
Keywords: scale feature; multi scale; feature; deep blind ... See more keywords
Change Detection in SAR Images Based on Improved Non-Subsampled Shearlet Transform and Multi-Scale Feature Fusion CNN
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3126839
Abstract: Traditional methods for change detection in synthetic aperture radar images have difficulty in obtaining results from the generated differential image (DI) owing to speckle noise. In recent years, many deep learning-based methods have emerged because… read more here.
Keywords: change detection; scale feature; multi scale; detection ... See more keywords
Pansharpening Using Unsupervised Generative Adversarial Networks With Recursive Mixed-Scale Feature Fusion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3259014
Abstract: Panchromatic sharpening (pansharpening) is an important technology for improving the spatial resolution of multispectral (MS) images. The majority of the models are implemented at the reduced resolution, leading to unfavorable results at the full resolution.… read more here.
Keywords: information; fusion; feature fusion; mixed scale ... See more keywords
Multi-Scale Feature Fusion Convolutional Neural Network for Indoor Small Target Detection
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.881021
Abstract: The development of object detection technology makes it possible for robots to interact with people and the environment, but the changeable application scenarios make the detection accuracy of small and medium objects in the practical… read more here.
Keywords: multi scale; feature fusion; target detection; detection ... See more keywords
Method for Classifying Apple Leaf Diseases Based on Dual Attention and Multi-Scale Feature Extraction
Sign Up to like & getrecommendations! Published in 2023 at "Agriculture"
DOI: 10.3390/agriculture13050940
Abstract: Image datasets acquired from orchards are commonly characterized by intricate backgrounds and an imbalanced distribution of disease categories, resulting in suboptimal recognition outcomes when attempting to identify apple leaf diseases. In this regard, we propose… read more here.
Keywords: multi scale; dual attention; feature extraction; apple leaf ... See more keywords
Battlefield Target Aggregation Behavior Recognition Model Based on Multi-Scale Feature Fusion
Sign Up to like & getrecommendations! Published in 2019 at "Symmetry"
DOI: 10.3390/sym11060761
Abstract: In this paper, our goal is to improve the recognition accuracy of battlefield target aggregation behavior while maintaining the low computational cost of spatio-temporal depth neural networks. To this end, we propose a novel 3D-CNN… read more here.
Keywords: scale feature; aggregation behavior; multi scale; feature ... See more keywords
Constructing Adaptive Multi-Scale Feature via Transformer-Aware Patch for Occluded Person Re-Identification
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14071454
Abstract: Person re-identification (Re-ID) aims to retrieve a specific pedestrian across a multi-disjoint camera in a surveillance system. Most of the research is based on a strong assumption that images should contain a full human torso.… read more here.
Keywords: multi scale; person; occluded person; person identification ... See more keywords