Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools
Unmanned aerial vehicle (UAV) images have gained extensive attention in varying fields,
and the Structure from Motion (SfM) technique has become the gold standard for aerial …
and the Structure from Motion (SfM) technique has become the gold standard for aerial …
Unmanned Aerial Vehicle-Based Photogrammetric 3D Map**: A survey of techniques, applications, and challenges
Three-dimensional map** is an increasingly important feature for recent photogrammetry
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …
Mini-unmanned aerial vehicle-based remote sensing: Techniques, applications, and prospects
The past few decades have witnessed great progress for unmanned aerial vehicles (UAVs)
in civilian fields, especially in photogrammetry and remote sensing. In contrast with manned …
in civilian fields, especially in photogrammetry and remote sensing. In contrast with manned …
Survey on handwriting-based personality trait identification
Personality is a combination of various characteristics and qualities of an individual. It may
be affected by the growth and evolution of one's values, attributes, relationships with the …
be affected by the growth and evolution of one's values, attributes, relationships with the …
3d scanning: A comprehensive survey
This paper provides an overview of 3D scanning methodologies and technologies proposed
in the existing scientific and industrial literature. Throughout the paper, various types of the …
in the existing scientific and industrial literature. Throughout the paper, various types of the …
Recognition of handwritten characters using local gradient feature descriptors
In this paper we propose to use local gradient feature descriptors, namely the scale invariant
feature transform keypoint descriptor and the histogram of oriented gradients, for …
feature transform keypoint descriptor and the histogram of oriented gradients, for …
A multi-domain collaborative transfer learning method with multi-scale repeated attention mechanism for underwater side-scan sonar image classification
Z Cheng, G Huo, H Li - Remote Sensing, 2022 - mdpi.com
Due to the strong speckle noise caused by the seabed reverberation which makes it difficult
to extract discriminating and noiseless features of a target, recognition and classification of …
to extract discriminating and noiseless features of a target, recognition and classification of …
Distortion robust relative radiometric normalization of multitemporal and multisensor remote sensing images using image features
A Moghimi, A Sarmadian… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
In this article, we propose a novel framework to radiometrically correct unregistered
multisensor image pairs based on the extracted feature points with the KAZE detector and …
multisensor image pairs based on the extracted feature points with the KAZE detector and …
Distinctive order based self-similarity descriptor for multi-sensor remote sensing image matching
Robust, well-distributed and accurate feature matching in multi-sensor remote sensing
image is a difficult task duo to significant geometric and illumination differences. In this …
image is a difficult task duo to significant geometric and illumination differences. In this …
A non-contact measurement method of ship block using image-based 3D reconstruction technology
Y Wei, Z Ding, H Huang, C Yan, J Huang, J Leng - Ocean Engineering, 2019 - Elsevier
Nowadays, the traditional measurement methods applied in ship sections/blocks are heavily
relied on years of experiences and could hardly meet the shipbuilding requirements due to …
relied on years of experiences and could hardly meet the shipbuilding requirements due to …