Results 11 to 20 of about 22,737 (266)

Remote Sensing Imagery Segmentation: A Hybrid Approach [PDF]

Remote Sensing, 2021
In remote sensing imagery, segmentation techniques fail to encounter multiple regions of interest due to challenges such as dense features, low illumination, uncertainties, and noise. Consequently, exploiting vast and redundant information makes segmentation a difficult task. Existing multilevel thresholding techniques achieve low segmentation accuracy
Shreya Pare, Himanshu Mittal, Mohammad Sajid, Jagdish Chand Bansal, Amit Saxena 0001, Tony Jan, Witold Pedrycz, Mukesh Prasad   +7 more
openaire   +2 more sources

Interpretation of Remote Sensing Imagery

IOP Conference Series: Earth and Environmental Science, 2021
Abstract The process of interpretation and analysis of remote sensing data is based on extracting meaningful information from satellite imagery. The quality of visual interpretation depends on the resolvability and recognisability of the main visual characteristics of each photo or images.
Anna Seidlova, Maria Kudelcikova, Jan Mihalik, Donatas Rekus   +3 more
openaire   +1 more source

Multilabel classification of remote sensed satellite imagery [PDF]

Transactions on Emerging Telecommunications Technologies, 2020
AbstractMultilabel scene classification has emerged as a critical research area in the domain of remote sensing. Contemporary classification models primarily emphasis on a single object or multiobject scene classification of satellite remote sensed images.
Ajay Kumar 0007, Kumar Abhishek 0004, Amit Kumar Singh 0001, Pranav Nerurkar, Madhav Chandane, Sunil Bhirud, Dhiren R. Patel, Yann Busnel   +7 more
openaire   +2 more sources

INTEGRATION OF POINT CLOUDS AND IMAGES ACQUIRED FROM A LOW-COST NIR CAMERA SENSOR FOR CULTURAL HERITAGE PURPOSES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Terrestrial Laser Scanning is currently one of the most common techniques for modelling and documenting structures of cultural heritage. However, only geometric information on its own, without the addition of imagery data is insufficient when formulating
M. Kedzierski, P. Walczykowski, M. Wojtkowska, A. Fryskowska   +3 more
doaj   +1 more source

ACCURACY ASSESSMENT OF POINT CLOUDS GEO-REFERENCING IN SURVEYING AND DOCUMENTATION OF HISTORICAL COMPLEXES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Terrestrial Laser Scanning (TLS) technique is widely used for documentation and preservation of historical sites by for example creating three-dimensional (3-D) digital models or vectorial sketches.
A. Fryskowska
doaj   +1 more source

Influence of the Sun Position and Platform Orientation on the Quality of Imagery Obtained from Unmanned Aerial Vehicles

Remote Sensing, 2020
Images acquired at a low altitude can be the source of accurate information about various environmental phenomena. Often, however, this information is distorted by various factors, so a correction of the images needs to be performed to recreate the ...
Aleksandra Sekrecka, Damian Wierzbicki, Michal Kedzierski   +2 more
doaj   +1 more source

3D MODELLING OF ARCHITECTURAL BLOCKS AND ANTIQUE SCULPTURES FOR THE CONSERVATION AND THE PROMOTION OF ARCHAEOLOGICAL HERITAGE – EXPERIMENTS IN ALSACE [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
This paper presents the results of several studies led on the 3D modelling of blocks by photogrammetry. These blocks are constitutive elements of vestiges of buildings and tombs from the Roman period.
M. Koehl, M. Fuchs
doaj   +1 more source

THE PREDICTION OF POSITION AND ORIENTATION PARAMETERS OF UAV FOR VIDEO IMAGING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
The paper presents the results of the prediction for the parameters of the position and orientation of the unmanned aerial vehicle (UAV) equipped with compact digital camera. Issue focus in this paper is to achieve optimal accuracy and reliability of the
D. Wierzbicki
doaj   +1 more source

Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral Observation

Sensors, 2023
Xiong’an New Area is defined as the future city of China, and the regulation of water resources is an important part of the scientific development of the city.
Yuechao Yang, Donghui Zhang, Xusheng Li, Daming Wang, Chunhua Yang, Jianhua Wang   +5 more
doaj   +1 more source

An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery—A Case of Potential Loess Landslide

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Many objects in the naturalenvironment are generated from the background and even transformed by nature or human beings. Thus, they do not have closed and well-defined boundaries in remote sensing imagery.
Guangle Yao, Wenlong Zhou, Mingzhe Liu, Qiang Xu, Honghui Wang, Jun Li, Yuanzhen Ju   +6 more
doaj   +1 more source