A segmented particle swarm optimization convolutional neural network for land cover and land use classification of remote sensing images

Yongnian Gao; Qin Li

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A segmented particle swarm optimization convolutional neural network for land cover and land use classification of remote sensing images

机译：用于遥感图像的陆地覆盖和土地的分段粒子群优化卷积神经网络

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The development of automatic classification methods in neural networks is an important topic in the field of land cover and land use (LULC) classification of remote sensing images. Here, we proposed a new segmented particle swarm convolutional neural network model (SPSO-CNN) by combining the subsection particle swarm algorithm with a convolutional neural network. The SPSO-CNN was applied to experiment of LULC classification of GF-1 high resolution remote sensing image. The results showed that SPSO-CNN achieved high precision, recall, F1 score and total precision in the LULC classification of remote sensing image with high spatial resolution, demonstrating the advantage and potential of applying SPSO-CNN to the LULC classification of remote sensing images.

机译：神经网络中自动分类方法的发展是遥感图像的陆地覆盖和土地利用领域的一个重要主题。这里，我们通过将子部分粒子群算法与卷积神经网络组合，提出了一种新的分段粒子群卷积神经网络模型（SPSO-CNN）。 SPO-CNN应用于GF-1高分辨率遥感图像的LULC分类的实验。结果表明，SPSO-CNN在具有高空间分辨率的遥感图像的LULC分类中实现了高精度，召回，F1分数和总精度，证明了将SPSO-CNN应用于遥感图像的LULC分类的优点和电位。

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《Remote sensing letters》 |2019年第12期|1182-1191|共10页
作者
Yongnian Gao; Qin Li;
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Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China;

Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China College of Resources and Environment University of Chinese Academy of Sciences Beijing China;

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2. Object-Oriented Method Combined with Deep Convolutional Neural Networks for Land-Use-Type Classification of Remote Sensing Images [J] . Jin Baoxuan, Ye Peng, Zhang Xueying, Journal of the Indian Society of Remote Sensing . 2019,第6期

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5. ARTMAP neural network for land cover classification and multisensor fusion in remote sensing. [D] . Liu, Weiguo. 2002

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机译：澳大利亚昆士兰州凯恩斯的土地覆盖/使用分类：一项遥感研究，涉及机载成像光谱仪，大幅面相机和专题成像仪模拟器的联合使用

A segmented particle swarm optimization convolutional neural network for land cover and land use classification of remote sensing images

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