搜索结果: 1-15 共查到“摄影测量与遥感技术 Multi Temporal”相关记录59条 . 查询时间(0.125 秒)
EXTRACTION AND ANALYSIS OF MAJOR AUTUMN CROPS IN JINGXIAN COUNTY BASED ON MULTI - TEMPORAL GF - 1 REMOTE SENSING IMAGE AND OBJECT-ORIENTED
Remote Sensing Autumn Crops Object-oriented Information Extraction Phenological Characteristics
2018/5/15
The purpose of this paper is to provide decision support for the adjustment and optimization of crop planting structure in Jingxian County. The object-oriented information extraction method is used to...
OBJECT MANIFOLD ALIGNMENT FOR MULTI-TEMPORAL HIGH RESOLUTION REMOTE SENSING IMAGES CLASSIFICATION
High spatial resolution Segmentation Objects Superpixel Manifold alignment Multi-temporal Classification
2017/7/12
Multi-temporal remote sensing images classification is very useful for monitoring the land cover changes. Traditional approaches in this field mainly face to limited labelled samples and spectral drif...
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...
EXAMINING URBAN EXPANSION USING MULTI-TEMPORAL LANDSAT IMAGERY:A CASE STUDY OF THE MONTREAL CENSUS METROPOLITAN AREA FROM 1975 TO 2015,CANADA
Urban Expansion Remote Sensing Landsat Imagery Classification Change Detection Driven Forces Analysis Montréal Census Metropolitan Area
2016/12/1
Urban expansion, particularly the movement of residential and commercial land use to sub-urban areas in metropolitan areas, has been considered as a significant signal of regional economic development...
MULTI-TEMPORAL ANALYSIS OF WWII RECONNAISSANCE PHOTOS
Multi-temporal Reconnaissance Second World War Aerial photography Archive Image analysis Interpretation
2016/12/1
There are millions of aerial photographs from the period of the Second Wold War available in the Allied archives, obtained by aerial photo reconnaissance, covering most of today’s European countries. ...
LAND USE AND LAND COVER CHANGES AND URBAN SPRAWL IN RIYADH,SAUDI ARABIA:AN ANALYSIS USING MULTI-TEMPORAL LANDSAT DATA AND SHANNON'S ENTROPY INDEX
Land Use Land Cover Change Shannon’s Entropy Riyadh
2016/12/1
The city of Riyadh, Saudi Arabia has experienced rapid population growth and urban expansion over the past several decades. Due to such growth, the capital city faces many short and long-term social a...
ASSESSMENT OF SURFACE WATER AT THE SOBRADINHO RESERVOIR UNDER THE EFFECTS OF DROUGHT USING MULTI-TEMPORAL LANDSAT IMAGES
Remote Sensing Digital Image Processing Monitoring Reservoir Landsat Drought
2016/11/30
The matrix of energy generation in Brazil is predominantly hydroelectric power. Consequently, the reservoirs need constant monitoring due to the large volume of artificially dammed water. Images from ...
MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING
SAR Interferometry Landslide monitoring
2016/11/30
In the past few years, SAR Interferometry specially InSAR and D-InSAR were extensively used for deformation monitoring related applications. Due to temporal and spatial decorrelation in dense vegetate...
AN UNSUPERVISED CHANGE DETECTION BASED ON TEST STATISTIC AND KI FROM MULTI-TEMPORAL AND FULL POLARIMETRIC SAR IMAGES
Change Detection Multi-temporal Synthetic Aperture Radar (SAR) Test Statistic Kittler and Illingworth (KI)
2016/11/23
Accurate and timely change detection of Earth’s surface features is extremely important for understanding relationships and interactions between people and natural phenomena. Many traditional methods ...
CLOUD AND CLOUD SHADOW MASKING USING MULTI-TEMPORAL CLOUD MASKING ALGORITHM IN TROPICAL ENVIRONMENTAL
Multitemporal Cloud Masking Algrithm Cloud Cloud Shadow
2016/7/8
A cloud masking approach based on multi-temporal satellite images is proposed. The basic idea of this approach is to detect cloud and cloud shadow by using the difference reflectance values between cl...
MULTI-TEMPORAL CROP SURFACE MODELS COMBINED WITH THE RGB VEGETATION INDEX FROM UAV-BASED IMAGES FOR FORAGE MONITORING IN GRASSLAND
Precision Agriculture Grassland UAV Crop Surface Model Structure from Motion RGBVI
2016/7/5
Remote sensing of crop biomass is important in regard to precision agriculture, which aims to improve nutrient use efficiency and to develop better stress and disease management. In this study, multi-...
Multi-temporal Classification for Crop Discrimination using TerraSAR – X Spotlight images
Multi-temporal Land-cover classification crop calendar speckle filtering
2016/1/25
Within the past years investigations have been carried out on the usefulness of ENVISAT ASAR dual polarimetric data for
environmental mapping of agricultural areas. The performance of such approach ...
MAPPING POST-OLYMPICS URBAN USE CHANGE IN THE PERIPHERY OF ATHENS USING MULTI-TEMPORAL PIXEL-BASED AND SEGMENTATION TECHNIQUES
Urban Use Change Detection Classification Monitoring Landsat Object Oriented Segmentation Multitemporal
2016/1/3
The city of Athens, Greece, was given the go-ahead to host the 2004 Olympic Games in 1996. Considerable land cover/use changes (LUCC), principally conversions to urban land use from other types, assoc...
A METHOD FOR CHANGE DETECTION WITH MULTI-TEMPORAL SATELLITE IMAGES USING THE RX ALGORITHM
Change detection SPOT5 imagery RX algorithm anomaly detection outlier detection high-resolution satellite image
2016/1/3
The use of new, high-resolution spectral sensors, in contrast with low-resolution, increases both the amount of information acquired about land cover at local scales, and the geometric detailand accur...
RETRIEVALS OF CANOPY BIOPHYSICAL VARIABLES USING MULTI-TEMPORAL REMOTE SENSING DATA
Remote Sensing Retrieval Leaf area index Multi-temporal
2015/12/31
The integrated application of multi-source and multi-temporal remote sensing data is the trend of remote sensing application research, and it is also the practical need to solve the inversion problem ...