High-Resolution Remote Sensing Image Change Detection Combined With Pixel-Level and Object-Level

IEEE Access ◽

10.1109/access.2019.2922839 ◽

2019 ◽

Vol 7 ◽

pp. 78909-78918 ◽

Author(s):

Lu Xu ◽

Weipeng Jing ◽

Houbing Song ◽

Guangsheng Chen

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Image ◽

Image Change Detection ◽

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High resolution remote sensing image change detection based on law of cosines with box-whisker plot

2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP) ◽

10.1109/rsip.2017.7958805 ◽

2017 ◽

Author(s):

Chunsen Zhang ◽

Guojun Li ◽

Weihong Cui

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Image ◽

Image Change Detection ◽

Law Of Cosines ◽

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High-Resolution Remote Sensing Image Change Detection Based on Morphological Texture Features

Geomatics Science and Technology ◽

10.12677/gst.2017.53017 ◽

2017 ◽

Vol 05 (03) ◽

pp. 143-151

Author(s):

海勇丁

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Texture Features ◽

Remote Sensing Image ◽

Image Change Detection

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A Combined Loss-Based Multiscale Fully Convolutional Network for High-Resolution Remote Sensing Image Change Detection

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3098774 ◽

2021 ◽

pp. 1-5

Author(s):

Xinghua Li ◽

Meizhen He ◽

Huifang Li ◽

Huanfeng Shen

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Image ◽

Convolutional Network ◽

Fully Convolutional Network ◽

Image Change Detection

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A novel framework for very high resolution remote sensing image change detection

International Journal of Networking and Virtual Organisations ◽

10.1504/ijnvo.2018.10016262 ◽

2018 ◽

Vol 19 (2/3/4) ◽

pp. 357

Author(s):

Ning Sun ◽

Jianlong Zhang ◽

Jie Li

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Image ◽

Image Change Detection ◽

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A Novel Visual Saliency Guided High Resolution Remote Sensing Image Change Detection Algorithm

Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering ◽

10.2991/iccsae-15.2016.57 ◽

2016 ◽

Author(s):

Qigejian Wang ◽

Xinyu Zhang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Visual Saliency ◽

Remote Sensing Image ◽

Detection Algorithm ◽

Image Change Detection

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PPCNET: A Combined Patch-Level and Pixel-Level End-to-End Deep Network for High-Resolution Remote Sensing Image Change Detection

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2019.2955309 ◽

2020 ◽

Vol 17 (10) ◽

pp. 1797-1801

Author(s):

Tengfei Bao ◽

Chenqin Fu ◽

Tao Fang ◽

Hong Huo

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Image ◽

Deep Network ◽

Image Change Detection ◽

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A novel high resolution remote sensing image change detection algorithm based on image fusion and fuzzy clustering models

2016 International Conference on Inventive Computation Technologies (ICICT) ◽

10.1109/inventive.2016.7830104 ◽

2016 ◽

Author(s):

Mengyuan Liu ◽

Yujiang Liu

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Image Fusion ◽

Fuzzy Clustering ◽

Remote Sensing Image ◽

Detection Algorithm ◽

Image Change Detection

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A Spatial-Temporal-Channel Attention Unet++ for High Resolution Remote Sensing Image Change Detection

10.1109/igarss47720.2021.9554590 ◽

2021 ◽

Author(s):

Mingliang Liu ◽

Jinjie Huang ◽

Lei Ma ◽

Ling Wan ◽

Jialong Guo ◽

...

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Image ◽

Image Change Detection

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A novel framework for very high resolution remote sensing image change detection

International Journal of Networking and Virtual Organisations ◽

10.1504/ijnvo.2018.095431 ◽

2018 ◽

Vol 19 (2/3/4) ◽

pp. 357 ◽

Author(s):

Jie Li ◽

Ning Sun ◽

Jianlong Zhang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Image ◽

Image Change Detection ◽

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High-Resolution Remote Sensing Image Change Detection by Statistical-Object-Based Method

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2018.2817121 ◽

2018 ◽

Vol 11 (7) ◽

pp. 2440-2447 ◽

Author(s):

Chunsen Zhang ◽

Guojun Li ◽

Weihong Cui

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Image ◽

Object Based ◽

Image Change Detection ◽

Statistical Object

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