31 results about "Thematic Mapper" patented technology

The invention discloses a method for classifying remote sensing images blended with high-space high-time resolution data by an object oriented technology, and relates to a method for classifying remote sensing images of an oriented object, which can be used for solving the problem that the previous method for classifying remote sensing images can not be used for distinguishing land cover types of 'foreign bodies with the same spectrum', and is not suitable for being applied to the remote sensing images with low-medium resolution ratio. The method provided by the invention comprises the following steps: carrying out filter processing by applying an SG (screen grid) filter; determining a time sequence curve of typical vegetational MODIS-NDVI (moderate resolution imaging spectroradiometer-normalized difference vegetation index) in the remote sensing image to be classified; segmenting a TM (thematic mapper) image, wherein each segmentation unit is used as an object; extracting the characteristic information of each object; extracting all non-vegetation objects; removing the non-vegetation objects, and taking the obtained vegetational objects as planar vectors to segment MODIS-NDVI time sequence data, so as to obtain corresponding biotemperature information acquired by each vegetational object; and determining the vegetational type, to which each object belongs; and completing the land cover classification. The method provided by the invention can be used for distinguishing the land cover types.

The invention discloses a method for detecting spissatus and spissatus shadow Landsat thematic mapper (TM) images and Landsat enhanced thematic mapper (ETM) images. The method comprises steps of dividing an input image into 16 sub-atlases and performing wiener filtering denoising and normalization for the 16 sub-atlases; performing rough detection for the spissatus and the shadow in the 16 sub-atlases and selecting reference pairs from a rough detection result; solving a mass center connection inclined angle and a space of a final reference pair in accordance with all reference pairs; matching the spissatus and the shadow in the 16 sub-atlases in accordance with the mass center connection inclined angle and the space of the final reference pair and performing supplementary detection for unmatched spissatus and unmatched shadow; adding a matching result of the spissatus and the shadow and a supplementary detection result and obtaining final detection result sub-images of all sub-atlases; and sequentially splicing final detection result sub-images of all sub-atlases and obtaining a final detection result image. Auxiliary information and manual intervention are not required, the detection precision is high and the method can be used in detection and classification of remote sensing image variation and pre-processing of image segmentation.

The invention discloses a decision tree model based multispectral remote sensing image river information extraction method. The decision tree model based multispectral remote sensing image river information extraction method comprises step 1, preprocessing an obtained Landsat TM (Thematic Mapper) remote sensing image and segmenting out a river area to be extracted; step 2, performing ground object classification on the segmented river area, selecting 15 to 20 feature points from every type and extracting out corresponding picture element values from TM1 to TM5; step 3, analyzing spectrum characteristics of the different types of ground objects according to the extracted picture element values, establishing a decision rule and establishing a decision tree model of river information extraction; step 4, processing picture elements of a segmented river area image according to the decision tree model so as to generate a binaryzation image of water body information and non-water-body information; step 5, performing vectorization processing and post-processing on the generated binaryzation image to obtain river information. According to the decision tree model based multispectral remote sensing image river information extraction method, rapid retraction of the river information can be achieved and the decision tree model based multispectral remote sensing image river information extraction method can be applied to the thematic map production directly.

The invention provides a method for recovering spectral information of a hill shade area of a Landsat thematic mapper/enhanced thematic mapper plus (TM/ETM+) image. The method comprises the following steps of: identifying and extracting the shade area, searching unshaded similar image elements and recovering the spectral information of the shade area. The method for recovering the spectral information of the hill shade area of the Landsat TM/ETM+ image is used for recovering the spectral information of the shade area of a remote sensing image. According to the method provided by the invention, by fully combining the proper weak spectral information of shade image elements with the spectral information of similar image elements near the shade image elements, the dependence of a traditional topographic correction algorithm on digital elevation model (DEM) data is rid of. When the resolution and the accuracy of the DEM data cannot meet the requirement of the topographic correction algorithm, the algorithm is capable of providing an effective shade processing method.

According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to determine a route based at least partly on a thematic map database and a current location of the apparatus, present the determined route as a suggested route to a first user, and responsive to the first user approving the suggested route, initiate an activity session based on the suggested route.

The invention discloses a method for building high-spatial resolution NDVI (normalized difference vegetation index) time series data. The high-spatial resolution NDVI time series data is predicted and built according to low-spatial resolution MODIS (moderate-resolution imaging spectroradiometer) pixels in known MODIS NDVI data and high-spatial resolution TM (thematic mapper) pixels in TMNDVI (thematic mapper normalized difference vegetation index) data. TM data is combined with MODIS data, and accordingly high-spatial resolution NDVI time series data with quite fine precision can be obtained effectively.

The invention discloses a water body information extraction method based on a TM (Thematic Mapper) image. The method comprises the following steps of: carrying out data fusion on files of seven wave bands, and then setting a proper edge processing method to carry out splicing of image data; then utilizing a boundary of a rasterized target area to cut the spliced image data; establishing a water body information extraction model aiming at wave spectrum information of the TM image; and establishing a noise removal model aiming at mountain shadow noise in the extracted water body information. According to the water body information extraction method, the water body information can be accurately extracted as far as possible by utilizing a Landsat TM satellite image, and basic hydrology information is provided for subsequent research.

The invention discloses a method for extracting mineralization-alteration information. The method comprises the steps of effective background pixel identifications, selection of local variable windows, in-window main component analysis, construction of abnormal variables, abnormal recognition and assignment and alteration abnormal output. Interference information such as water, cloud, ice and snow is eliminated through identifications and statistics of effective background pixels; and statistics variables are limited within the windows rather than the whole image range during main component analysis through local variable windows, therefore further reduction of interference of ambient environment noise is facilitated, and the extraction capacity of alteration information is improved. By means of the method, the potential of mineralization-alteration charting of thematic mapper (TM) and advanced spaceborne thermal emission and reflection radiometer (ASTER) remotely-sensed can be further mined, and the indication capacity in geological exploration can be improved.

The invention provides an urban heat island effect space variation detection method and system. The urban heat island effect space variation detection method comprises the steps: constructing an urban remote sensing data image database for the processed urban remote sensing images; according to the image database, acquiring a plurality of thematic images of a target city; and according to the thematic images, detecting the space-time distribution information of urban heat islands, and analyzing the urban heat islands; according to the urban heat islands, offering a proposal for urban landscape. Therefore, the urban heat island effect space variation detection method and system can overcome the spatial overlay algorithm problem between the heat island effect spatial distribution and other feature layers of the city, and can improve the accuracy for urban heat island effect space variation detection.

The invention discloses an acquisition method for a watercourse underwater terrain thematic map. The method comprises the following steps that first, a digital elevation model is created according to TIN data generated by elevation points and contour line data; second, optimizing process is carried out on the digital elevation model obtained in the first step; third, an illumination model is created, and the illumination model is utilized to carry out illumination model process on the digital elevation model optimized in the second step; fourth, model superposition and rendering are carried out, and then displaying is carried out. According to the acquisition method for the watercourse underwater terrain thematic map, the more vivid and intuitive watercourse thematic map with third dimension can be acquired; the variation trend of the watercourse terrain can be intuitively reflected, the availability in actual production is strong, and the appreciation is provided; meanwhile, the drawing efficiency is high, the production cost is low, and batch drawing can be accomplished by a procedure according to thematic map parameters.

An apparatus and method for web page access and an apparatus and method for structuring a web page access history are provided. The apparatus for structuring a web page access history includes a topic extractor configured to analyze a web page accessed by a user to extract at least one topic related to the page, a mapper configured to map the at least one extracted topic onto a node of an ontology-based data structure, and a summary graph generator configured to extract a sub graph including the mapped node from the data structure, and to generate a summary graph based on the extracted sub graph.

The present invention belongs to the technical field of geological detection data processing, discloses a geological map dynamic synthesis method and system considering a proximity relationship, and proposes a dynamic geological map synthesis method for the situation of over-reliance on labor existing in the current geological map synthesis. The method can be used to comprehensively process the Jiaguan town map. By using the dynamic geological map synthesis method disclosed by the present invention, the process of over-reliance on manual participation in the traditional geological map synthesis process is overcome, and the method is more efficient; the weight of the geological body spatial information and attribute information is analyzed, and the experimental result is more accurate; clustering analysis and rough set calculation are used, and better effects are achieved; and the method can be promoted to other cartographic fields such as mineral resource maps, planning and utilizationmaps and other thematic maps.

The invention relates to the technical field of map manufacture, in particular to a manufacture method and system for thematic maps based on a format relevancy model. The method has following beneficial effects: as for manufacture of heterogeneous isomorphism thematic maps, a format concept is introduced; a same auxiliary element framework of heterogeneous isomorphism thematic maps can be physically saved; as for manufacture of multiple heterogeneous isomorphism maps with same auxiliary elements and different map elements, formats can be reused fully so that drawing efficiency is increased.

The invention provides a locust plague detection method. The method comprises the steps of (A) acquiring multi-source remote sensing data of a detected area, wherein the multi-source remote sensing data include polarimetric synthetic aperture radar data, temperature of a moderate-resolution imaging spectroradiometer and vegetation indexes of a thematic mapper; (B) acquiring an average polarimetric scattering angle and a polarimetric scattering entropy according to the polarimetric synthetic aperture radar data; (C) acquiring differential locust plague indexes according to the average polarimetric scattering angle, the polarimetric scattering entropy, the temperature of the moderate-resolution imaging spectroradiometer and the vegetation indexes of the thematic mapper; (D) determining whether locust plague occurs in the detection area according to the differential locust plague indexes.

The invention relates to an evaluation method of quality of a TM/ETM (thematic mapper/enhanced thematic mapper) and image-based atmospheric correction product. The method comprises the following steps of: 1, acquiring a product image, and randomly selecting a reference image; 2, matching a geographic coordinate system between the product image and the reference image in the step 1; 3,selecting a plurality of samples from the product image and the reference image by adopting a systematic sampling method, and respectively calculating spectral values of corresponding samples of the product image and reference image on the reference image and the product image; 4, respectively identifying constant land feature samples of the product image and the reference image in the step 2, and saving an effective constant land feature sample; and 5, analyzing the atmospheric correction quality of the product image according to the effective constant land feature sample in the step 4. The method has the advantages that: important basic image quality information can be provided to regional or global earth surface change researches, and PIFs (physical interfaces) samples can be accurately identified on the TM/ETM and image with different time phases/season phases.

The invention discloses a calculation method of water area remote sensing information of Landsat satellite sensors. The calculation method comprises the following steps: step 100, receiving Landsat satellite remote sensing data; step 101, performing data preprocessing; and step 102, selecting data of the first, second, third, fourth, fifth and seventh wave bands of Landsat satellite Thematic Mapper (TM) sensor and Enhanced Thematic Mapper (ETM) sensor or data of the fourth, fifth, sixth and seventh wave bands of Landsat satellite Multi-Spectral Scanner (MSS) sensor. The calculation method of the water area remote sensing information of the Landsat satellite sensor is a method for obtaining water area information by judging remote sensing data through multiple conditions, so that extractionprecision of the water area information is improved. The calculation method of the water area information in the invention is more suitable for calculating the water area information by utilizing theLandsat satellite sensors, and is faster, automatic and less manual compared with actual measurement. Furthermore, the method has long time series, so that past precious historical data of the earthare kept, which is extremely important for calculating the water area information.