31 results about "Thematic Mapper" patented technology

A roaming sensor system collects data on the condition of roads and bridge decks and identifies and maps defects, including cracks, potholes, debonding, tracking, delamination, surface ice, surface water, and rebar corrosion. Data are collected by a vehicle or a fleet of vehicles driven at normal traffic speeds. The vehicle is outfitted with sensors that collect data using acoustic surface waves, ground penetrating radar, mm wave surface radar, and / or video images. The data are transmitted to a control center for analysis and distribution.

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 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 discloses an automatic processing method for essential factors of a remote-sensing image railway thematic map. The method comprises technical steps that a base map of a remote sensing image is processed automatically, and aberration and color cast of batch of remote sensing image data are processed automatically; a route mileage is drafted automatically, and mileage marks and characters are drafted automatically by being perpendicular to a path; bridge and tunnel symbols are drafted automatically according to a foreground color; entrances and exits of the tunnels are drafted automatically; a station symbol is drafted automatically, and the length of a station mark and orientations of platforms are determined according to positions specified by a user; an inclined line filling mode is customized according to specific modes and angles; and the essential factors of the thematic map are integrated by adjusting the data topological relation of the essential factors of the thematic maps according to a map integration principle and integrating the data according to a file management mode.

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 invention provides a method for detecting locust disasters. The method includes: (A) acquiring multi-source remote sensing data of the detected area, wherein the multi-source remote sensing data includes: full polarization synthetic aperture radar data, medium resolution imaging spectrometer temperature and thematic mapping instrument vegetation index; ( B) Obtaining the average polarization scattering angle and polarization scattering entropy from the full polarization SAR data; (C) Obtaining the average polarization scattering angle, polarization scattering entropy, medium resolution imaging spectrometer temperature and thematic mapper vegetation index Difference locust plague index; (D) determine whether locust plague occurs in the detected area according to the difference locust plague index.

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.