Results 11 to 20 of about 1,674,951 (305)

HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery

Remote Sensing, 2020
Instance segmentation in high-resolution (HR) remote sensing imagery is one of the most challenging tasks and is more difficult than object detection and semantic segmentation tasks. It aims to predict class labels and pixel-wise instance masks to locate
Hao Su, Shunjun Wei, Shan Liu, Jiadian Liang, Chen Wang, Jun Shi, Xiaoling Zhang   +6 more
doaj   +2 more sources

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   +5 more sources

Emerging Issues in Mapping Urban Impervious Surfaces Using High-Resolution Remote Sensing Images

Remote Sensing, 2023
Urban impervious surface (UIS) is a key parameter in climate change, environmental change, and sustainability. UIS extraction has been evolving rapidly in the past decades. However, high-resolution impervious surface mapping is a long-term need. There is
Zhenfeng Shao, Tao Cheng, Huyan Fu, Deren Li, Xiao Huang   +4 more
doaj   +2 more sources

FLDSensing: Remote Sensing Flood Inundation Mapping with FLDPLN

Remote Sensing
Flood inundation mapping (FIM), which is essential for effective disaster response and management, requires rapid and accurate delineation of flood extent and depth.
Jackson Edwards, Francisco J. Gomez, Son Kim Do, David A. Weiss, Jude Kastens, Sagy Cohen, Hamid Moradkhani, Venkataraman Lakshmi, Xingong Li   +8 more
doaj   +2 more sources

Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]

, 2014
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei, Zabalza, Jaime, Yang, Mingqiang, Zhang, Yi, Ren, Jinchang, Marshall, Stephen, Wang, Jun   +6 more
core   +4 more sources

Regularization destriping of remote sensing imagery [PDF]

Nonlinear Processes in Geophysics, 2016
Abstract. We illustrate the utility of variational destriping for ocean color images from both multispectral and hyperspectral sensors. In particular, we examine data from a filter spectrometer, the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar Partnership (NPP) orbiter, and an airborne grating spectrometer, the Jet ...
R. Basnayake, R. Basnayake, E. Bollt, E. Bollt, N. Tufillaro, J. Sun, J. Sun, M. Gierach   +7 more
openaire   +3 more sources

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

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

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