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Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review

机译：基于卷积神经网络的深度学习遥感研究的准确性评估 - 第1部分：文献综述

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Aaron E. Maxwell; Timothy A. Warner; Luis Andrés Guillén;
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1. Earthquake-induced landslide hazard and vegetation recovery assessment using remotely sensed data and a neural network-based classifier: a case study in central Taiwan [J] . Wen-Tzu Lin, Wen-Chieh Chou, Chao-Yuan Lin Natural Hazards . 2008,第3期

机译：利用遥感数据和基于神经网络的分类器对地震诱发的滑坡灾害和植被恢复进行评估：以台湾中部为例
2. Earthquake-induced landslide hazard and vegetation recovery assessment using remotely sensed data and a neural network-based classifier: a case study in central Taiwan [J] . Wen-Tzu Lin, Wen-Chieh Chou, Chao-Yuan Lin Natural Hazards . 2008,第3期

机译：利用遥感数据和基于神经网络的分类器对地震诱发的滑坡灾害和植被恢复进行评估：以台湾中部为例
3. Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval [J] . Yansheng Li, Yongjun Zhang, Xin Huang, IEEE Transactions on Geoscience and Remote Sensing. . 2018,第11期

机译：学习源不变的深度哈希卷积神经网络进行跨源遥感图像检索
4. Hybrid Cluster Segmentation and deep learning Convolutional Neural Network classification of Remote Sensing Data [C] . Jagannath K Jadhav, Kshitijarun Bidari, Amruta P Sonavale, International Conference on Inventive Systems and Control . 2020

机译：遥感数据的混合聚类分割和深度学习卷积神经网络分类
5. Neural network-based crop growth model to predict processing tomato yield on a site-specific basis using remotely sensed data. [D] . Koller, Michal. 2003

机译：基于神经网络的作物生长模型可使用遥感数据在特定地点预测番茄的加工产量。
6. Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network—A Pilot Study [O] . Kenny H. Cha, Lubomir M. Hadjiiski, Ravi K. Samala, 2016

机译：CT中的膀胱癌分割用于治疗反应评估：深度学习卷积神经网络的应用-初步研究
7. High Spatial Resolution Remote Sensing Scene Classification Method using Transfer Learning and Deep Convolutional Neural Network [O] . Wenmei Li, Juan Wang, Ziteng Wang, 2020

机译：高空间分辨率遥感场景分类方法，使用转移学习和深卷积神经网络

Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review

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