搜索结果: 1-15 共查到“Remote sensing imagery”相关记录34条 . 查询时间(0.359 秒)
Enhancing the Accuracy and Temporal Transferability of Irrigated Cropping Field Classification Using Optical Remote Sensing Imagery
irrigated field classification Landsat NDVI time series Gaussian mixture model interannual climate variability regional analysis
2023/12/1
Mapping irrigated areas using remotely sensed imagery has been widely applied to support agricultural water management; however, accuracy is often compromised by the in-field heterogeneity of and inte...
INSTANTANEOUS COASTLINE EXTRACTION FROM LIDAR POINT CLOUD AND HIGH RESOLUTION REMOTE SENSING IMAGERY
coastline image segmentation LiDAR region growing
2018/5/14
A new method was proposed for instantaneous waterline extraction in this paper, which combines point cloud geometry features and image spectral characteristics of the coastal zone. The proposed method...
MAN-MADE OBJECT EXTRACTION FROM REMOTE SENSING IMAGERY BY GRAPH-BASED MANIFOLD RANKING
Man-made Object Extraction Remote Sensing Image Priori Area Extraction Graph Model Manifold Ranking
2018/5/14
The automatic extraction of man-made objects from remote sensing imagery is useful in many applications. This paper proposes an algorithm for extracting man-made objects automatically by integrating a...
SHANGHAI SHORELINE EVOLUTION INTERPRETED FROM HISTORICAL ATLAS AND REMOTE SENSING IMAGERY OVER THE PAST 2,200 YEARS
Shanghai Shoreline Change Evolution Atlas Remote Sensing
2016/12/1
Shanghai, the axis of economic development in China and holding the most prosperous metropolis in the world, is located at Yangtze Estuary which is susceptible to shoreline changes affected by differe...
ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA
Floods Climate Change Impacts Climate Change Vulnerability
2016/11/30
Assessing vulnerability and potential impacts associated with extreme discharges requires an accurate topographic description in order to estimate the extension of flooded areas. However, in most popu...
PAN-SHARPENING APPROACHES BASED ON UNMIXING OF MULTISPECTRAL REMOTE SENSING IMAGERY
image processing multi-resolution image fusion pan-sharpening quality assessment model based approach remote sensing
2016/11/24
Model based analysis or explicit definition/listing of all models/assumptions used in the derivation of a pan-sharpening method allows us to understand the rationale or properties of existing methods ...
DETECTION OF HARBOURS FROM HIGH RESOLUTION REMOTE SENSING IMAGERY VIA SALIENCY ANALYSIS AND FEATURE LEARNING
Harbours Saliency Analysis Feature Learning Fuzzy C-mean Scale-Invariant Feature Transform (SIFT)
2016/11/23
Harbours are very important objects in civil and military fields. To detect them from high resolution remote sensing imagery is important in various fields and also a challenging task. Traditional met...
SCENE CLASSFICATION BASED ON THE SEMANTIC-FEATURE FUSION FULLY SPARSE TOPIC MODEL FOR HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY
Scene classification Fully sparse topic model Semantic-feature Fusion Limited training samples High spatial resolution
2016/11/23
Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution...
MONITORING LAND USE CHANGE BY MULTI-TEMPORAL LANDSAT REMOTE SENSING IMAGERY
Land Use Artificial-Intelligence GIS Remote Sensing Change Detection
2015/12/31
This paper presents a methodology through utilizing remote sensing imagery, GIS-based neuro-fuzzy approach and variety of social and environmental factors for simulating land use change. Two historica...
OBJECT-LEVEL CHANGE DETECTION FOR MULTI-TEMEPORAL HIGH-RESOLUTION REMOTE SENSING IMAGERY
Change Detection HR images Pixel-level Object-level Segmentation Classification
2015/12/31
A new object-level change detection(OLCD) approach, combining object analysis with change detection process is proposed for land surface monitoring. The object analysis is consisting of Mean Shift(MS)...
THE RESEARCH OF THE DYNAMIC MONITORING TECHNIQUE FOR LAND USE BASED ON REMOTE SENSING IMAGERY
Remote Sensing Imagery Dynamic Monitoring Change Detection Land Use Change Polygon
2015/12/31
For the past few years, the dynamic monitoring technique for land use based on high resolution remote sensing imagery is at the stage of key techniques research and system development in China. The pa...
An Efficient Multi-Scale Segmentation for High-Resolution Remote Sensing Imagery Based on Statistical Region Growing and Minimum-Heterogeneity Rule
Multi-scale Segmentation High-Resolution Statistical Region Merging (SRM)
2015/12/17
Multi-scale segmentation is an essential step toward higher level image processing in remote sensing. This paper presents a new multi-scale segmentation method based on Statistical Region Merging (SRM...
The Construction of Anti-Symmetrical Wavelet and Building Extraction from Remote Sensing Imagery
Anti-symmetrical wavelet Multi-Scale Edge Detection Lifting wavelet Parameter Feature Matching
2015/12/9
The principal technical problem of 3D building semi-automatic acquisition from remote-sensing images was discussed by using wavelet analysis, combining digital photogrammetry and computer vision. A se...
Analysis of Reliability and Impact Factors of Mutual Information Similarity Criterion for Remote Sensing Imagery Template Matching
Matching Registration Reliability Performance Impact Analysis Multi-sensor
2015/11/23
Reliability of similarity measure is a key factor for successful image matching. In this paper, mutual information is introduced to template image matching as a similarity measure. Its ability of adap...
ESTIMATION OF THE THICKNESS AND EMULSION RATE OF OIL SPILLED AT SEA USING HYPERSPECTRAL REMOTE SENSING IMAGERY IN THE SWIR DOMAIN
hyperspectral oil spill thickness emulsion rate
2015/9/21
The thickness and the emulsion rate of an oil spill are two key parameters allowing to design a tailored response to an oil discharge. If estimated on per pixel basis at a high spatial resolution, the...