Remote Sensing-Based Classification of Winter Irrigation Fields Using the Random Forest Algorithm and GF-1 Data: A Case Study of Jinzhong Basin, North China.
Qiaomei SuJin LvJinlong FanWeili ZengRong PanYuejiao LiaoYing SongChunliang ZhaoZhihao QinPierre DefournyPublished in: Remote. Sens. (2023)
Keyphrases
- remote sensing
- random forest
- data sets
- learning algorithm
- remote sensing data
- satellite images
- decision tree learning algorithms
- remotely sensed data
- multi spectral images
- image processing
- remote sensing imagery
- hyperspectral data
- hyperspectral images
- multispectral
- support vector machine svm
- high spatial resolution
- data streams
- pattern recognition
- image data
- data points
- high resolution
- earth science
- high quality
- satellite data
- change detection
- image fusion
- decision trees
- machine learning
- svm classifier
- remote sensing images
- machine learning methods
- sensor data
- training samples
- feature set
- classification accuracy
- similarity measure
- feature selection
- computer vision
- data mining