相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data
Gianmarco Perantoni et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Landscape context determines soil fungal diversity in a fragmented habitat
Nier Su et al.
CATENA (2022)
Knowledge-guided land pattern depiction for urban land use mapping: A case study of Chinese cities
Qiqi Zhu et al.
REMOTE SENSING OF ENVIRONMENT (2022)
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images
Yumiao Wang et al.
GISCIENCE & REMOTE SENSING (2022)
Deep segmentation and classification of complex crops using multi-feature satellite imagery
Lijun Wang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)
Breaking the resolution barrier: A low-to-high network for large-scale high-resolution land-cover mapping using low-resolution labels
Zhuohong Li et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2022)
Detecting Pest-Infested Forest Damage through Multispectral Satellite Imagery and Improved UNet plus
Jingzong Zhang et al.
SENSORS (2022)
Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification
Lijun Wang et al.
CROP JOURNAL (2022)
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences
Jorge Andres Chamorro Martinez et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products
Claudia Paris et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)
A new attention-based CNN approach for crop mapping using time series Sentinel-2 images
Yumiao Wang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
A review of deep learning methods for semantic segmentation of remote sensing imagery
Xiaohui Yuan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine
Jarrett Adrian et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
Assessing the Sentinel-2 Capabilities to Identify Abandoned Crops Using Deep Learning
Enrique Portales-Julia et al.
AGRONOMY-BASEL (2021)
PCNet: Cloud Detection in FY-3D True-Color Imagery Using Multi-Scale Pyramid Contextual Information
Wangbin Li et al.
REMOTE SENSING (2021)
Deep Learning Based Land Cover and Crop Type Classification: A Comparative Study
Asim Hameed Khan et al.
2021 INTERNATIONAL CONFERENCE ON DIGITAL FUTURES AND TRANSFORMATIVE TECHNOLOGIES (ICODT2) (2021)
An evaluation of Landsat, Sentinel-2, Sentinel-1 and MODIS data for crop type mapping
Xiao-Peng Song et al.
SCIENCE OF REMOTE SENSING (2021)
ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
Foivos Diakogiannis et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing
Emma Izquierdo-Verdiguier et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2020)
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network
Francois Waldner et al.
REMOTE SENSING OF ENVIRONMENT (2020)
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping
Jinfan Xu et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples
Pengyu Hao et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review
Michel E. D. Chaves et al.
REMOTE SENSING (2020)
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning
Yansheng Li et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Histogram shape based Gaussian sub-histogram specification for contrast enhancement
S. Jayasankari et al.
INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS (2020)
Deep Attention and Multi-Scale Networks for Accurate Remote Sensing Image Segmentation
Xingqun Qi et al.
IEEE ACCESS (2020)
Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture
Dino Ienco et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
AUTOMATIC EXTRACTION OF WEAK LABELED SAMPLES FROM EXISTING THEMATIC PRODUCTS FOR TRAINING CONVOLUTIONAL NEURAL NETWORKS
Claudia Paris et al.
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)
Learning Aerial Image Segmentation From Online Maps
Pascal Kaiser et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Deep Learning in Remote Sensing
Xiao Xiang Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
An improved histogram matching algorithm for the removal of striping noise in optical remote sensing imagery
Biao Cao et al.
OPTIK (2015)
Cloud-free satellite image mosaics with regression trees and histogram matching
EH Helmer et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2005)