搜索结果: 1-15 共查到“COVER CLASSIFICATION”相关记录65条 . 查询时间(0.125 秒)
Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification
airborne LiDAR intensity correction LiDAR intensity
2023/12/6
Light detection and range (LiDAR) intensity is an important feature describing the characteristics of a target. The direct use of original intensity values has limitations for users, because the same ...
Climate-Based Regionalization and Inclusion of Spectral Indices for Enhancing Transboundary Land-Use/Cover Classification Using Deep Learning and Machine Learning
machine learning ratio-based indices orthogonal indices Koppen–Geiger climate regionalization landscape change remote sensing landcover
2023/12/4
Accurate land use and cover data are essential for effective land-use planning, hydrological modeling, and policy development. Since the Okavango Delta is a transboundary Ramsar site, managing natural...
中国地质大学科学技术发展院陈伟涛 等，计算机学院. Remote Sensing（2019）, Fine Land Cover Classification in an Open Pit Mining Area Using Optimized Support Vector Machine and WorldView-3 Imagery
地质环境；遥感；智能；解译；研究领域
2021/10/15
近日，中国地质大学计算机学院陈伟涛副教授团队再次在地质环境遥感智能解译研究领域取得重要进展。相关研究成果发表在国际著名期刊《Remote Sensing》（2018年影响因子为4.118）。论文第一作者为陈伟涛副教授，通讯作者为李显巨副教授。
DEVELOPING A LAND COVER CLASSIFICATION OF SALT MARSHES USING UAS TIME-SERIES IMAGERY AND AN OPEN SOURCE WORKFLOW
UAS QGIS OpenDroneMap Salt Marsh RGB Supervised Classification Plug-in
2018/11/8
Salt marsh ecology classification is difficult using traditional coarse resolution remote sensing techniques. Salt marshes exhibit a spatial pattern of vegetation zonation that are visually identifiab...
QUALITY EVALUATION OF LAND-COVER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK
Remote Sensing Land Cover classification Deep Learning Convolutional Neural Network Quality evaluation
2018/5/11
Land-cover classification is one of the most important products of earth observation, which focuses mainly on profiling the physical characters of the land surface with temporal and distribution attri...
FOREST COVER CLASSIFICATION USING GEOSPATIAL MULTIMODAL DATA
Forest Cover Classification LiDAR Airborne Imagery Convolutional Neural Network Multimodal Learning
2018/6/5
To address climate change, accurate and automated forest cover monitoring is crucial. In this study, we propose a Convolutional Neural Network (CNN) which mimics professional interpreters’ manual tech...
VEGETATION ANALYSIS AND LAND USE LAND COVER CLASSIFICATION OF FOREST IN UTTARA KANNADA DISTRICT INDIA THROUGH GEO-INFORMATICS APPROACH
Forest software LULC class NDVI aspect altitude classification imageries
2017/7/12
The study was conducted in Uttara Kannada districts during the year 2012–2014. The study area lies between 13.92° N to 15.52° N latitude and 74.08° E to 75.09° E longitude with...
MULTI-TEMPORAL LAND COVER CLASSIFICATION WITH LONG SHORT-TERM MEMORY NEURAL NETWORKS
Long Short-Term Memory Recurrent Neural Networks Sentinel 2 Crop Identification Deep Learning Land Cover Classification
2017/7/13
Land cover classification (LCC) is a central and wide field of research in earth observation and has already put forth a variety of classification techniques. Many approaches are based on classificati...
MODELLING THE RELATIONSHIP BETWEEN LAND SURFACE TEMPERATURE AND LANDSCAPE PATTERNS OF LAND USE LAND COVER CLASSIFICATION USING MULTI LINEAR REGRESSION MODELS
Land Surface Temperature Land Use Land Cover Multiple Linear Regression LiDAR Spatial Metrics
2016/12/1
The threat of the ailments related to urbanization like heat stress is very prevalent. There are a lot of things that can be done to lessen the effect of urbanization to the surface temperature of the...
TESTING OF LAND COVER CLASSIFICATION FROM MULTISPECTRAL AIRBORNE LASER SCANNING DATA
multi-wavelength ALS texture analysis classification data fusion laser intensity land cover mapping
2016/11/23
Multispectral Airborne Laser Scanning provides a new opportunity for airborne data collection. It provides high-density topographic surveying and is also a useful tool for land cover mapping. Use of a...
GLOBAL LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PROSUCTS
Global Land Cover Classification Algorithm Multi-temporal Multi-spectral Co-occurrence Matrix Non-Parametric Classifier
2016/11/23
The objective of this study is to develop high accuracy land cover classification algorithm for Global scale by using multi-temporal MODIS land reflectance products. In this study, time-domain co-occu...
LAND COVER CLASSIFICATION FROM FULL-WAVEFORM LIDAR DATA BASED ON SUPPORT VECTOR MACHINES
LiDAR Support Vector Machines (SVM) Full-Waveform Land Cover Classification Waveform decomposition Feature extraction
2016/7/27
In this study, a land cover classification method based on multi-class Support Vector Machines (SVM) is presented to predict the types of land cover in Miyun area. The obtained backscattered full-wave...
3D LAND COVER CLASSIFICATION BASED ON MULTISPECTRAL LIDAR POINT CLOUDS
Multispectral Lidar OBIA Intensity Imagery Multi-resolution Segmentation Classification Accuracy Assessment 3D Land Cover Classification
2016/7/5
Multispectral Lidar System can emit simultaneous laser pulses at the different wavelengths. The reflected multispectral energy is captured through a receiver of the sensor, and the return signal toget...
Land cover classification: Some new techniques, new source data
Environmental variables Global Land Cover AVHRR Satellite Imagery
2016/5/20
Land cover classifications have advanced from using single Landsat Multispectral Scanner scenes to using "full resolution" AVHRR time series. Three current approaches to global land cover study with A...
LAND COVER CLASSIFICATION IN BEIJING AREA BASED ON CBERS-02B CCD DATA
CBERS-02B CCD Land Cover Classification DTC Accuracy Assessment
2016/3/17
In this paper, we studied the potential of land cover classification using multi-spectral CBERS-02B CCD data. CEBERS-02B is the third of the series earth resource satellite of China. It was launched o...