A Watershed-Segmentation-Based Improved Algorithm for Extracting Cultivated Land Boundaries
出版年份 2021 全文链接
标题
A Watershed-Segmentation-Based Improved Algorithm for Extracting Cultivated Land Boundaries
作者
关键词
-
出版物
Remote Sensing
Volume 13, Issue 5, Pages 939
出版商
MDPI AG
发表日期
2021-03-04
DOI
10.3390/rs13050939
参考文献
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- (2020) Shahab Jozdani et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Watershed Segmentation Algorithm Based on Luv Color Space Region Merging for Extracting Slope Hazard Boundaries
- (2020) Mingmei Zhang et al. ISPRS International Journal of Geo-Information
- Identification of geomorphological hazards in an underground coal mining area based on an improved region merging watershed algorithm
- (2020) Mingmei Zhang et al. Arabian Journal of Geosciences
- Extraction and analysis of abandoned farmland: A case study of Qingyun and Wudi counties in Shandong Province
- (2019) Guofeng Xiao et al. Journal of Geographical Sciences
- Exploring the Potential of Mapping Cropping Patterns on Smallholder Scale Croplands Using Sentinel-1 SAR Data
- (2019) Juliana Useya et al. Chinese Geographical Science
- Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis
- (2018) Mariana Belgiu et al. REMOTE SENSING OF ENVIRONMENT
- A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
- (2018) Pardhasaradhi Teluguntla et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
- (2017) Jun Xiong et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Analysis of the Spatiotemporal Land-Use/Land-Cover Change and its Driving Forces in Fuxian Lake Watershed, 1974 to 2014
- (2017) Shi-Hua Li et al. POLISH JOURNAL OF ENVIRONMENTAL STUDIES
- Detection of cropland field parcels from Landsat imagery
- (2017) Jordan Graesser et al. REMOTE SENSING OF ENVIRONMENT
- Mapping global cropland and field size
- (2015) Steffen Fritz et al. GLOBAL CHANGE BIOLOGY
- Segmentation quality evaluation using region-based precision and recall measures for remote sensing images
- (2015) Xueliang Zhang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Image enhancement techniques for quantitative investigations of morphological features in cometary comae: A comparative study
- (2014) Nalin H. Samarasinha et al. ICARUS
- Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm
- (2014) Zhuoting Wu et al. Journal of Applied Remote Sensing
- Geographic Object-Based Image Analysis – Towards a new paradigm
- (2013) Thomas Blaschke et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Agricultural crop-type classification of multi-polarization SAR images using a hybrid entropy decomposition and support vector machine technique
- (2011) Chue Poh Tan et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Rule-Based Classification of a Very High Resolution Image in an Urban Environment Using Multispectral Segmentation Guided by Cartographic Data
- (2010) Mourad Bouziani et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Qualitative Spatial Reasoning for High-Resolution Remote Sensing Image Analysis
- (2008) J. Inglada et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Image segmentation evaluation: A survey of unsupervised methods
- (2007) Hui Zhang et al. COMPUTER VISION AND IMAGE UNDERSTANDING
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