Results 1 to 10 of about 342,318 (248)

Integrated Node Infrastructure for Future Smart City Sensing and Response

Remote Sensing, 2023
Emerging smart cities and digital twins are currently built from heterogenous cutting-edge low-power remote sensing systems limited by diverse inefficient communication and information technologies.
Dong Chen, Xiang Zhang, Wei Zhang, Xing Yin   +3 more
doaj   +1 more source

HyperRefiner: a refined hyperspectral pansharpening network based on the autoencoder and self-attention

International Journal of Digital Earth, 2023
Deep learning has been developed to generate promising super resolution hyperspectral imagery by fusing hyperspectral imagery with the panchromatic band.
Bo Zhou, Xianfeng Zhang, Xiao Chen, Miao Ren, Ziyuan Feng   +4 more
doaj   +1 more source

DUBAI 3D TEXTUERD MESH USING HIGH QUALITY RESOLUTION VERTICAL/OBLIQUE AERIAL IMAGERY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Providing high quality 3D data with reasonable quality and cost were always essential, affording the core data and foundation for developing an information-based decision-making tool of urban environments with the capability of providing decision makers,
A. T. Madani, A. Z. Ahmad, L. Christoph, Z. Hammadi, M. A. X. Manal Abdullah Sabeal   +4 more
doaj   +1 more source

ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation

Remote Sensing, 2023
The performance of a semantic segmentation model for remote sensing (RS) images pre-trained on an annotated dataset greatly decreases when testing on another unannotated dataset because of the domain gap.
Yang Zhao, Peng Guo, Zihao Sun, Xiuwan Chen, Han Gao   +4 more
doaj   +1 more source

A Point Cloud Segmentation Method for Dim and Cluttered Underground Tunnel Scenes Based on the Segment Anything Model

Remote Sensing, 2023
In recent years, point cloud segmentation technology has increasingly played a pivotal role in tunnel construction and maintenance. Currently, traditional methods for segmenting point clouds in tunnel scenes often rely on a multitude of attribute ...
Jitong Kang, Ning Chen, Mei Li, Shanjun Mao, Haoyuan Zhang, Yingbo Fan, Hui Liu   +6 more
doaj   +1 more source

GPS AND GLONASS COMBINED STATIC PRECISE POINT POSITIONING (PPP) [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
With the rapid development of multi-constellation Global Navigation Satellite Systems (GNSSs), satellite navigation is undergoing drastic changes. Presently, more than 70 satellites are already available and nearly 120 more satellites will be available ...
D. Pandey, R. Dwivedi, O. Dikshit, A. K. Singh   +3 more
doaj   +1 more source

Classification of Very-High-Spatial-Resolution Aerial Images Based on Multiscale Features with Limited Semantic Information

Remote Sensing, 2021
Recently, deep learning has become the most innovative trend for a variety of high-spatial-resolution remote sensing imaging applications. However, large-scale land cover classification via traditional convolutional neural networks (CNNs) with sliding ...
Han Gao, Jinhui Guo, Peng Guo, Xiuwan Chen   +3 more
doaj   +1 more source

Unsupervised Haze Removal for High-Resolution Optical Remote-Sensing Images Based on Improved Generative Adversarial Networks

Remote Sensing, 2020
One major limitation of remote-sensing images is bad weather conditions, such as haze. Haze significantly reduces the accuracy of satellite image interpretation.
Anna Hu, Zhong Xie, Yongyang Xu, Mingyu Xie, Liang Wu, Qinjun Qiu   +5 more
doaj   +1 more source

Identification and analysis of accident black spots using Geographic Information System (GIS): A study on Kushtia-Jhenaidah national highway (N704), Bangladesh. [PDF]

Heliyon
Khatun MS, Hossain MA, Kabir MA, Rahman MA.   +3 more
europepmc   +3 more sources

Building Façade Recognition Using Oblique Aerial Images

Remote Sensing, 2015
This study proposes a method to recognize façades from large-scale urban scenes based on multi-level image features utilizing a recently developed oblique aerial photogrammetry technique.
Xiucheng Yang, Xuebin Qin, Jun Wang, Jianhua Wang, Xin Ye, Qiming Qin   +5 more
doaj   +1 more source