A novel approach for predicting the tc center of remotely sensed images using pso based density matrix

Earth Science Informatics ◽

10.1007/s12145-021-00711-5 ◽

2021 ◽

Author(s):

S. Mohammad Malik Mubeen ◽

M. Shanmuga Priya ◽

M. Vijayaraj

Keyword(s):

Density Matrix ◽

Remotely Sensed ◽

Novel Approach ◽

Remotely Sensed Images

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A Novel Approach to Subpixel Land-Cover Change Detection Based on a Supervised Back-Propagation Neural Network for Remotely Sensed Images With Different Resolutions

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2017.2733558 ◽

2017 ◽

Vol 14 (10) ◽

pp. 1750-1754 ◽

Author(s):

Ke Wu ◽

Yanfei Zhong ◽

Xianmin Wang ◽

Weiwei Sun

Keyword(s):

Neural Network ◽

Change Detection ◽

Land Cover Change ◽

Back Propagation ◽

Remotely Sensed ◽

Back Propagation Neural Network ◽

Novel Approach ◽

Remotely Sensed Images ◽

Land Cover Change Detection

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Novel approach for computing photosynthetically active radiation for productivity modeling using remotely sensed images in the Great Plains, United States

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.6.063522 ◽

2012 ◽

Vol 6 (1) ◽

pp. 063522 ◽

Author(s):

Shuguang Liu

Keyword(s):

United States ◽

Great Plains ◽

Photosynthetically Active Radiation ◽

Remotely Sensed ◽

Active Radiation ◽

Novel Approach ◽

Remotely Sensed Images ◽

Productivity Modeling

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A novel approach for change detection of remotely sensed images using semi-supervised multiple classifier system

Information Sciences ◽

10.1016/j.ins.2014.01.037 ◽

2014 ◽

Vol 269 ◽

pp. 35-47 ◽

Author(s):

Moumita Roy ◽

Susmita Ghosh ◽

Ashish Ghosh

Keyword(s):

Change Detection ◽

Remotely Sensed ◽

Multiple Classifier System ◽

Classifier System ◽

Novel Approach ◽

Multiple Classifier ◽

Remotely Sensed Images

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A Siamese convolutional neural network with high–low level feature fusion for change detection in remotely sensed images

Remote Sensing Letters ◽

10.1080/2150704x.2021.1892851 ◽

2021 ◽

Vol 12 (4) ◽

pp. 387-396

Author(s):

Hao Zhou ◽

Mi Zhang ◽

Xiangyun Hu ◽

Kun Li ◽

Jing Sun

Keyword(s):

Neural Network ◽

Change Detection ◽

Convolutional Neural Network ◽

Feature Fusion ◽

Remotely Sensed ◽

Low Level ◽

Remotely Sensed Images

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MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3052886 ◽

2021 ◽

pp. 1-5

Author(s):

Rui Li ◽

Chenxi Duan ◽

Shunyi Zheng ◽

Ce Zhang ◽

Peter M. Atkinson

Keyword(s):

Semantic Segmentation ◽

Remotely Sensed ◽

Remotely Sensed Images ◽

Fine Resolution

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Super-resolution target identification from remotely sensed images using a Hopfield neural network

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.917895 ◽

2001 ◽

Vol 39 (4) ◽

pp. 781-796 ◽

Author(s):

A.J. Tatem ◽

H.G. Lewis ◽

P.M. Atkinson ◽

M.S. Nixon

Keyword(s):

Neural Network ◽

Target Identification ◽

Super Resolution ◽

Hopfield Neural Network ◽

Remotely Sensed ◽

Remotely Sensed Images

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A Model-Based Approach to Multiresolution Fusion in Remotely Sensed Images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2006.873340 ◽

2006 ◽

Vol 44 (9) ◽

pp. 2549-2562 ◽

Author(s):

M.V. Joshi ◽

L. Bruzzone ◽

S. Chaudhuri

Keyword(s):

Remotely Sensed ◽

Model Based ◽

Remotely Sensed Images

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An ensemble approach for the detection and classification of mixed pixels of remotely sensed images

2018 4th International Conference on Recent Advances in Information Technology (RAIT) ◽

10.1109/rait.2018.8389026 ◽

2018 ◽

Author(s):

Shabnam Choudhury ◽

Anik Chaudhuri ◽

Dipti Patra

Keyword(s):

Remotely Sensed ◽

Ensemble Approach ◽

Mixed Pixels ◽

Remotely Sensed Images

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Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2014.02.015 ◽

2014 ◽

Vol 92 ◽

pp. 54-68 ◽

Author(s):

Qing Cheng ◽

Huanfeng Shen ◽

Liangpei Zhang ◽

Qiangqiang Yuan ◽

Chao Zeng

Keyword(s):

Remotely Sensed ◽

Remotely Sensed Images ◽

Spatio Temporal ◽

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Performance evaluation of state-of-the-art CNN architectures for the on-board processing of remotely sensed images

10.1109/dcis53048.2021.9666179 ◽

2021 ◽

Author(s):

Romen Neris ◽

Rael Guerra ◽

Sebastian Lopez ◽

Roberto Sarmiento

Keyword(s):

Performance Evaluation ◽

State Of The Art ◽

Remotely Sensed ◽

Remotely Sensed Images

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