Results 61 to 70 of about 352,126 (198)

Remote sensing image description based on word embedding and end-to-end deep learning

Scientific Reports, 2021
This study proposes an end-to-end image description generation model based on word embedding technology to realise the classification and identification of Populus euphratica and Tamarix in complex remote sensing images by providing descriptions in ...
Yuan Wang, Hongbing Ma, Kuerban Alifu, Yalong Lv   +3 more
doaj   +1 more source

IMAGE QUATY ASSESSMENT FOR VHR REMOTE SENSING IMAGE CLASSIFICATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
The data from remote sensing images are widely used for characterizing land use and land cover at present. With the increasing availability of very high resolution (VHR) remote sensing images, the remote sensing image classification becomes more and more
Z. Li, Z. Li, L. Shen, L. Shen, L. Wu, L. Wu   +5 more
doaj   +1 more source

Enhancing Remote Sensing Image Resolution Using Convolutional Neural Networks

Jurnal Elektronika dan Telekomunikasi
Remote sensing imagery is a very interesting topic for researchers, especially in the fields of image and pattern recognition. Remote sensing images differ from ordinary images taken with conventional cameras.
Julian Supardi, Samsuryadi Samsuryadi, Hadipurnawan Satria, Philip Alger M. Serrano, Arnelawati Arnelawati   +4 more
doaj   +1 more source

Automatic mosaic method of remote sensing images based on machine vision

Компьютерная оптика
Unmanned Aerial Vehicle (UAV) remote sensing is a commonly used technical means in modern science and technology, but currently, remote sensing images captured by UAVs need to be spliced to obtain more comprehensive information.
S.P. Gao, M. Xia, S.J. Zhang
doaj   +1 more source

OUTLINE OF VISUAL INTERPRETATIONS OF DIFFERENT KIND OF IMAGES OBTAINED BY REMOTE SENSING TECHNOLOGY

Agricultura, 2016
Remote sensing is the science of measuring, analyzing and recording data about a phenomenon from a certain distance. The relationship between remote sensing and landscape is important due to the strong spatial extent of information collection that remote
Alexandra M. Gașpar, Silvia Zeicu, Emil Luca   +2 more
doaj   +1 more source

Review of Deep Learning Applications in Unmanned Aerial Vehicle Remote Sensing Images of Grass Plants [PDF]

Jisuanji kexue yu tansuo
The invasion of grass species competes for resources necessary for the growth of crops, significantly affecting crop yield and quality. Grasses such as the Artemisia genus release allergenic pollen, causing allergic reactions and impacting human health ...
LI Shaobo, WANG Xiaoqiang, GUO Libiao, HONG Ying, WANG Zhiguo
doaj   +1 more source

Mapping cultivated area in West Africa using modis imagery and agroecological stratification [PDF]

, 2009
To predict and respond to famine and other forms of food insecurity, different early warning systems are using remote analyses of crop condition and agricultural production, using satellite-based information.
Baron, Christian, Bégué, Agnès, Féau, Christian, Houles, Marion, Lainé, Gérard, Lo Seen, Danny, Vintrou, Elodie   +6 more
core  

Database management and implementation for coal fire detection and monitoring in the Ruijgou Coalfield, Northwest China [PDF]

, 1999
Coal fire monitoring by aerospace remote sensing and GIS techniques is an advanced approach, which has been implemented in the Rujigou coalfield, northwest China.
Genderen, J. L. van, Vekerdy, Zoltán, Wang, F.   +2 more
core  

Texture-Adaptive Hierarchical Encryption Method for Large-Scale HR Remote Sensing Image Data

Remote Sensing
High-resolution (HR) remote sensing images contain rich, sensitive information regarding the distribution of geospatial objects and natural resources.
Jianbo Tang, Xingxiang Jiang, Chaoyi Huang, Chen Ding, Min Deng, Zhengyuan Huang, Jia Duan, Xiaoye Zhu   +7 more
doaj   +1 more source

Accurate Annotation of Remote Sensing Images via Active Spectral Clustering with Little Expert Knowledge

Remote Sensing, 2015
It is a challenging problem to efficiently interpret the large volumes of remotely sensed image data being collected in the current age of remote sensing “big data”.
Gui-Song Xia, Zifeng Wang, Caiming Xiong, Liangpei Zhang   +3 more
doaj   +1 more source