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Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion [article]

Nevrez Imamoglu and Motoki Kimura and Hiroki Miyamoto and Aito Fujita and Ryosuke Nakamura
2017 arXiv   pre-print
To express the strength of the top-down connections, we introduce feedback CNN network (FB-Net) to a baseline CNN model used for solar power plant classification on multi-spectral satellite data.  ...  Therefore, in this work, we propose a CNN network with feedback structure for Solar power plant detection on middle-resolution satellite images.  ...  Therefore, in this work, we describe a CNN model based on feedback features to achieve solar power plant classification and detection on multi-spectral imagery.  ... 
arXiv:1704.06410v2 fatcat:2toii7kperc45cntdtzup32dce

Table of contents

2019 2019 Chinese Control Conference (CCC)   unpublished
WANG Yijing, LU Xin, ZUO Zhiqiang 6633 Detecting Abnormal Driving Behaviors by Smartphone Sensors Based on Multi-Feature Convolutional Neural Network . . .  ...  REN Yanxue, DENG Bin, HONG Chaofei 8760 Study on Obstacle Detection and Recognition Method Based on Stereo Vision and Convolutional Neural Network LIAN Jing, KONG Lingchao, LI Linhui, ZHENG Weina, ZHOU  ... 
doi:10.23919/chicc.2019.8866607 fatcat:bkwxxogrqvcmfpmqiek3xgnuoe