高分辨率卫星立体像对用于测绘产品精度检测的方法探讨

从实际生产需要出发,进行IKONOS立体像对用于SPOT5卫星影像测绘产品的精度检测方法试验,研究在自然环境、交通条件等非常恶劣的外业工作困难地区,利用高分辨率卫星影像进行测绘产品精度检测的方法。     

波段运算与PCA结合的融合方法研究

为了改善常用的主成分融合方法的融合效果,本研究结合算术运算对其加以改进,并将融合结果与主成分、Brovey和小波变换三种方法进行比较。结果表明:新方法目视优于其他三种方法,更好地保持了地物的光谱特征,监督分类可使总体分类精度达到80.45%,比主成分融合的精度提高了8%。定量指标中,均值、标准差与原图像接近,光谱扭曲小,清晰度明显提高。在四种方法中表现最好。     

内外业一体化调查方法在土地调杏中的应用

以广东省龙门县土地利用更新调查为例,介绍了内外业一体化调查方法在土地调查中的应用,并论述了内外业一体化调查方法在生产中需要注意的事项。     

Quantitative estimation of intertidal sediment characteristics using remote sensing and GIS

High spatial resolution satellite data (IKONOS) combined with in situ data was used to quantitatively estimate the spatial distribution of tidal flat characteristics for the Hwangdo tidal flat, Cheonsu Bay, Korea. The classification result was accurate in terms of a comparison with the in situ data, and the overall accuracy was 90.7%, which confirmed the validity of the classification. GIS analysis based on a probabilistic model was applied to a quantitative estimation of the relationship between each surface sediment facies and the spectral reflectance. Mud flat facies showed a high positive correlation (R² = 0.91), and sand flat facies showed a high negative correlation (R² = 1.00), which was a good reflection of the sedimentary characteristics of Hwangdo tidal flat. Relationships between each sediment facies and DEM also showed good agreement with the topographic characteristics in the study area. The study revealed that intertidal surface sediment classification using high resolution remote sensing imagery and in situ data successfully shows spectral and topographic characteristics of the study area. It was noted that spectral reflectance was affected by a combination of environmental factors, including grain size, topography, and remnant surface water. It is possible to determine the type of tidal flat through quantitative estimates of the spatial distribution of surface sediments according to their spectral reflectance.     

Rule-based classification of high-resolution imagery over urban areas in New York City

This paper describes the integration of results from different feature extraction algorithms using spectral and spatial attributes to detect specific urban features. Methodology includes segmentation of IKONOS data, computing attributes for creating image objects and classifying the objects with fuzzy logic and rule-based algorithms. Previous research reported low class accuracies for two specific classes – dark and grey roofs. A modified per-field approach was employed to extract urban features. New rule-sets were used on image objects having similar or near-similar spectral and spatial characteristics. Different algorithms using spectral and spatial attributes were developed to extract specific urban features from a time-series of Multi-Spectral Scanner (MSS) (4 m × 4 m) IKONOS data. The modified approach resulted in a remarkable improvement in the accuracy of classes that registered low spectral seperability and therefore low accuracy. The spectral and spatial based classification model may be useful in mapping heterogeneous and spectrally similar urban features.     

Classification of boreal macrotidal littoral zone habitats in the Gulf of Maine: comparison of IKONOS and CASI multispectral imagery

Increasingly, remote sensing has become a useful tool for mapping and measuring terrestrial and aquatic environments. Advances in the spatial and spectral resolution of satellite-borne sensors have allowed affordable investigations of littoral macrotidal coastal systems that previously required more costly aircraft-based imagery. In this communication, we compare the results from analysis of a 4 m spatial resolution, multispectral IKONOS satellite image of the intertidal habitats of Islesboro, Maine, USA with that of an aerial compact airborne spectral imager survey of the same regions captured 4 years earlier. There was 72% agreement between the surveys in spite of the temporal gaps between the images. Accuracy varied by habitat class and the perceived error can be assigned to temporal and definitional issues rather than basic acquisition and analytic protocols. Most of the error can be explained by: (1) inadequacy of training sites, (2) temporal variations and (3) class definitions. We conclude that IKONOS imagery provides sufficient spatial and spectral resolution to map and monitor diverse intertidal habitats as found in the macrotidal Gulf of Maine.     

Slope Instability on Pyroclastic Deposits： Landslide Distribution and Risk Mapping in Zacapoaxtla, Sierra Norte De Puebla, Mexico

Introduction The impact produced by landsliding in diverse regions of the world has given rise to the development and implementation of different methods, techniques and tools to understand the mechanisms of movements involved, as well as to create maps o…     

IKONOS遥感影像在城市生态环境中的典型应用研究

应用不同的方法对IKONOS遥感影像进行处理,提取城市生态环境要素,研究高分辨率遥感影像在城市生态环境监测中的典型应用及采用的技术手段.     

IKONOS卫星影像在城市防震减灾及震害评价中的应用研究

文中探讨了IKONOS卫星影像在地震灾害评价中应用的可行性 ,认为高分辨率卫星影像在城市基础数据获取与更新、震害的快速评估和地震应急决策中有广阔的应用前景。在IKONOS卫星影像上 ,可以轻易分辨出城市防震减灾工作中需要的基本要素、如建筑物、构筑物、道路和桥梁。利用遥感图像处理软件可以从IKONOS数字影像中自动提取地物的形状、位置和属性等信息 ,从而节省大量的人力和财力。由于IKONOS卫星影像的更新速度远远高于城市地震灾害评价所需要的航空相片或大比例尺地形图 ,因此可以保证数据的实效性 ,从而解决“九五”震害预测与减灾对策研究中的数据老化问题。IKONOS卫星影像的重复周期为 3天 ,在理想的天气状况下 ,地震发生后的 3天之内 ,用户就可以得到震区影像 ,因此可用于震害的快速评估 ,还可取代航空相片用于地震现场调查