Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones [PDF]
, 2019 This paper proposes a novel framework for fusing multi-temporal, multispectral satellite images and OpenStreetMap (OSM) data for the classification of local climate zones (LCZs).
Ghamisi, Pedram +2 more
core +2 more sources
A method of single‐shot target detection with multi‐scale feature fusion and feature enhancement
IET Image Processing, 2022 The Single Shot MultiBox Detector (SSD) is one of the fastest detection algorithms. Although it has achieved good results in detection, it also has the problem of poor detection effect for small targets and occlusion between objects.
Zhong Qu +4 more
doaj +1 more source
Packing and Padding: Coupled Multi-index for Accurate Image Retrieval [PDF]
, 2014 In Bag-of-Words (BoW) based image retrieval, the SIFT visual word has a low discriminative power, so false positive matches occur prevalently. Apart from the information loss during quantization, another cause is that the SIFT feature only describes the ...
Liu, Ziqiong +3 more
core +3 more sources
Fast and Accurate Super-Resolution of FY-2 Infrared Cloud Images via Multi-Scale Fusion Network
IEEE Access, 2019 This paper proposes an effective method to improve the spatial resolution of FengYun-2 (FY-2) infrared cloud images via deep convolutional neural networks.
Yecai Guo, Pengfei Xiao, Mei Xue
doaj +1 more source
Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
core +4 more sources
SIFT-FANN: An efficient framework for spatio-spectral fusion of satellite images [PDF]
, 2016 Image fusion techniques are widely used for remote sensing data. A special application is for using low resolution multi-spectral image with high resolution panchromatic image to obtain an image having both spectral and spatial information.
Aparna, Rai. +5 more
core +1 more source
Taking a look at small-scale pedestrians and occluded pedestrians [PDF]
, 2019 Small-scale pedestrian detection and occluded pedestrian detection are two challenging tasks. However, most state-of-the-art methods merely handle one single task each time, thus giving rise to relatively poor performance when the two tasks, in practice,
Cao, Jiale +4 more
core +1 more source
Multi-scale-Feature-Fusion-for-Precipitation-Nowcasting
, 2023 Here we propose a novel DL architecture named ’multi-scale feature fusion’ (MFF) for precipitation nowcasting.
openaire +1 more source
Multi-scale Feature Fusion for 3D Saliency Detection
Journal of Physics: Conference Series, 2020 Abstract 3D saliency detection aims to take advantage of the disparity map, depth map and color information to automatically detect informative objects from natural scenes. Although studies have concentrated on this issue in recent years, there are challenges such as how to leverage disparity map or depth map effectively to compute depth-
Gang Pan +3 more
openaire +1 more source
Wafer defect recognition method based on multi-scale feature fusion
Frontiers in Neuroscience, 2023 Wafer defect recognition is an important process of chip manufacturing. As different process flows can lead to different defect types, the correct identification of defect patterns is important for recognizing manufacturing problems and fixing them in good time.
Yu Chen +6 more
openaire +3 more sources