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Aggregated Deep Local Features for Remote Sensing Image Retrieval [PDF]

open access: yesRemote Sensing, 2019
Remote Sensing Image Retrieval remains a challenging topic due to the special nature of Remote Sensing imagery. Such images contain various different semantic objects, which clearly complicates the retrieval task.
Raffaele Imbriaco   +3 more
doaj   +5 more sources

Image Local Features Description Through Polynomial Approximation [PDF]

open access: yesIEEE Access, 2019
This work introduces a novel local patch descriptor that remains invariant under varying conditions of orientation, viewpoint, scale, and illumination.
Fawad   +6 more
doaj   +5 more sources

Image Dehazing Based on Local and Non-Local Features

open access: yesFractal and Fractional, 2022
Image dehazing is a traditional task, yet it still presents arduous problems, especially in the removal of haze from the texture and edge information of an image.
Qingliang Jiao   +7 more
doaj   +2 more sources

3D Affine: An Embedding of Local Image Features for Viewpoint Invariance Using RGB-D Sensor Data [PDF]

open access: yesSensors, 2019
Local image features are invariant to in-plane rotations and robust to minor viewpoint changes. However, the current detectors and descriptors for local image features fail to accommodate out-of-plane rotations larger than 25°–30° ...
Hamdi Sahloul   +2 more
doaj   +2 more sources

LOCAL FEATURE EXTRACTION IN IMAGES

open access: yesInformation, Computing and Intelligent systems, 2021
The methods of the local feature point extraction are analyzed. The analysis shows that the most effective detectors are based on the brightness gradient determination. They usually use the Harris angle detector, which is complex in calcu­la­tions.
Anatoliy Sergiyenko   +2 more
openaire   +5 more sources

Superpixel-Based Local Features for Image Matching

open access: yesIEEE Access, 2021
Image matching is the research basis of many computer vision problems, such as intelligent driving, object recognition and structure from motion.
Yang Dong, Dazhao Fan, Qiuhe Ma, Song Ji
doaj   +1 more source

Image Segmentation Method Based on MRF with Edge Constrained Local Region [PDF]

open access: yesJisuanji gongcheng, 2021
The conventional Markov Random Field(MRF) model is sensitive to noise and produces fuzzy edges when segmenting complex natural images.To address the problem, this paper proposes an Edge Constrained Local Region MRF(ECLRMRF) segmentation model.Euclidean ...
HU Gaozhen, XU Shengjun, MENG Yuebo, LIU Guanghui, FENG Feng, DUAN Zhongxing
doaj   +1 more source

Research on image content description in Chinese based on fusion of image global and local features

open access: yesPLoS ONE, 2022
Most image content modelling methods are designed for English description which is different form Chinese in syntax structure. The few existing Chinese image description models do not fully integrate the global features and the local features of an image,
Dongyi Kong, Hong Zhao, Xiangyan Zeng
doaj   +3 more sources

Exploring local spatial features in hyperspectral images [PDF]

open access: yesJournal of Chemometrics, 2020
Abstract We propose a methodological framework to extract spatial features in hyperspectral imaging data and establish a link between these features and the spectral regions, capturing the observed structural patterns. The proposed approach consists of five main steps: (i) two‐dimensional stationary wavelet transform (2D‐SWT) is ...
Megat Harun Al Rashid Megat Ahmad   +4 more
openaire   +3 more sources

Local and Global Spectral Features for Hyperspectral Image Classification

open access: yesRemote Sensing, 2023
Hyperspectral images (HSI) contain powerful spectral characterization capabilities and are widely used especially for classification applications. However, the rich spectrum contained in HSI also increases the difficulty of extracting useful information,
Zeyu Xu   +3 more
doaj   +1 more source

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