Jump to content
  • Chatbox

    You don't have permission to chat.
    Load More

    Orthophoto Generation using Stereo Pair in Erdas LPS

    jack_stepeny
    By jack_stepeny,
    If somebody knows how to generate orthophoto from stereopair in ERDAS LPS please post step by step tutorial here. I will be highly obliged for the help.

    Limiting classes to specific areas during Classification

    Chris_B
    By Chris_B,
    I have a question if anyone can answer, it'd be greatly appreciated! I have Erdas Imagine 10, Arcmap 10 and ENVI 5. I am interested in limiting classes to specific areas of the image during a supervised classification. For example, if I know that wetlands only occur in the south-west area of my image, is there a way to limit that class to only measure pixels in the south-west portion of my image? This way I am ensuring the wetlands class only appears where I know wetlands actually exist on the

    locator map

    adnan0001
    By adnan0001,
    after doing all necessary steps like map, legends, scale bar...etc   I want to add locator map in the layout    can any1 plz tel me the procedure, how it can be done   thanks

    image anlysis extension for arcgis

    adnan0001
    By adnan0001,
    Image analysis extension for arcgis 10     Does this extension available for erdas 2013

    erdas 2013 map composition

    adnan0001
    By adnan0001,
    hi friend's   after making complete map with scale bar , legends, location map  etc...   i want to save it in jpg or tiff or png etc for final output   can any tell me correct procedure, how to save them or in which format i have to export

Portal by DevFuse · Based on IP.Board Portal by IPS
  • Forum Statistics

    8.7k
    Total Topics
    43.4k
    Total Posts
  • Latest Posts

    • Hello! Hello!   Join us on Wednesday [GIS DAA] for a zoom webinar as we discuss "The Future of GIS: Emerging Technologies and Global Impact in Different Sectors" and "GIS for Sustainable Development."   Our event will feature two distinguished key speakers, senior specialists in the field, who will enlighten us with their insights and expertise.   Save the date and stay tuned for more details on this exciting opportunity to explore the cutting-edge advancements and societal applications of Geographic Information Systems. Here is the registration link: https://shorturl.at/f5W68   See you there! #IRESexperience
    • Sometimes you need to create a satellite navigation tracking device that communicates via a low-power mesh network. [Powerfeatherdev] was in just that situation, and they whipped up a particularly compact solution to do the job. As you might have guessed based on the name of its creator, this build is based around the ESP32-S3 PowerFeather board. The PowerFeather has the benefit of robust power management features, which makes it perfect for a power-sipping project that’s intended to run for a long time. It can even run on solar power and manage battery levels if so desired. The GPS and LoRa gear is all mounted on a secondary “wing” PCB that slots directly on to the PowerFeather like a Arduino shield or Raspberry Pi HAT. The whole assembly is barely larger than a AA battery. It’s basically a super-small GPS tracker that transmits over LoRa, while being optimized for maximum run time on limited power from a small lithium-ion cell. If you’re needing to do some long-duration, low-power tracking task for a project, this might be right up your alley. https://hackaday.com/2024/10/17/tiny-lora-gps-node-relies-on-esp32/
    • Multiple motors or servos are the norm for drones to achieve controllable flight, but a team from MARS LAB HKU was able to a 360° lidar scanning drone with full control on just a single motor and no additional actuators. Video after the break. The key to controllable flight is the swashplateless propeller design that we’ve seen a few times, but it always required a second propeller to counteract self-rotation. In this case, the team was able to make that self-rotation work so that they could achieve 360° scanning with a single fixed LIDAR sensor. Self-rotation still needs to be slowed, so this was done with four stationary vanes. The single rotor also means better efficiency compared to a multi-rotor with similar propeller disk area. The LIDAR comprises a full 50% of the drone’s weight and provides a conical FOV out to a range of 450m. All processing happens onboard the drone, with point cloud data being processed by a LIDAR-inertial odometry framework. This allows the drone to track and plan its flight path while also building a 3D map of an unknown environment. This means it would be extremely useful for indoor or underground environments where GPS or other positioning systems are not available. All the design files and code for the drone are up on GitHub, and most of the electronic components are off-the-shelf. This means you can build your own, and the expensive lidar sensor is not required to get it flying. This seems like a great platform for further experimentation, and getting usable video from a normal camera would be an interesting challenge.   Single Rotor Drone Spins For 360 Lidar Scanning | Hackaday
    • The fall update to Global Mapper includes numerous usability updates, processing improvements, and with Pro, beta access to the Global Mapper Insight and Learning Engine which contains deep learning-based image analysis tools. Global Mapper is a complete geospatial software solution. The Standard version excels at basic vector, raster, and terrain editing, with Global Mapper Pro expanding the toolset to support drone-collected image processing, point cloud classification and extraction, and many more advanced image and terrain analysis options. Version 26.0 of Global Mapper Standard focuses on ease-of-use updates to improve the experience and efficiency of the software. A Global Search acts as a toolbox to locate any tool within the program, and a source search in the online data streaming tool makes it easier to bring online data into the application. Updates for working with 3D data include construction site planning to keep all edited terrain for a flattened site within a selected area and the ability to finely adjust the vertex position of 3D lines in reference to terrain in the Path Profile tool. Perhaps the largest addition to Global Mapper Pro v26.0 is the availability of the new Insight and Learning Engine which provides deep learning-based image analysis. Available with Global Mapper Pro for a limited time for users to test and explore, users can leverage built-in models for building extraction, vehicle detection, or land cover classification. These models can even be fine-tuned with iterative training to optimize the analysis for the data area.
  • Latest Topics

  • Recent Achievements

    • Robyev earned a badge
      One Month Later
    • Robfib earned a badge
      One Month Later
    • msig0000 went up a rank
      Rookie
    • instrutorgis earned a badge
      One Year In
    • umn earned a badge
      Reacting Well
×
×
  • Create New...

Important Information

By using this site, you agree to our Terms of Use.

Disable-Adblock.png

 

If you enjoy our contents, support us by Disable ads Blocker or add GIS-area to your ads blocker whitelist